/22 - Intro to the usage of Programming Languages/
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006 [NEW] Python and Javascript for LLM App Developers the important parts (part 2).mp4
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408.4 MB
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001 084BENG-PROGRAMMING-AND-LLM-APPS.pdf
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001 085BENG-PRELIMINARY-NOTES.pdf
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001 086BENG-RECOMMENDATION-USE-VENV.pdf
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001 087BENG-TERMINAL.pdf
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001 088BENG-HIDDEN-FILE-FOR-OPENAI-API-TOKEN.pdf
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001 089BENG-OPERATIONS-WITH-JUPYTER-NOTEBOOKS.pdf
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001 Intro to the usage of Programming Languages.mp4
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001 Intro to the usage of Programming Languages_en.srt
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002 Never programmed before Do not worry.mp4
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002 Never programmed before Do not worry_en.srt
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003 Practical Tips if you are new to programming.mp4
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003 Practical Tips if you are new to programming_en.srt
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004 DEMO W3Schools and ChatGPT in action.mp4
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44.6 MB
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004 DEMO W3Schools and ChatGPT in action_en.srt
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005 [NEW] Python and Javascript for LLM App Developers the important parts (part 1).mp4
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19.5 MB
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005 [NEW] Python and Javascript for LLM App Developers the important parts (part 1)_en.srt
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006 [NEW] Python and Javascript for LLM App Developers the important parts (part 2)_en.srt
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006 001-ENGINTRO.pdf
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006 001js.ipynb
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006 001python.ipynb
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007 Virtual environment what is it, why is it important and how to create one (1).mp4
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007 Virtual environment what is it, why is it important and how to create one (1)_en.srt
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008 086BENG-RECOMMENDATION-USE-VENV.pdf
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008 Virtual environment what is it, why is it important and how to create one (2).mp4
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008 Virtual environment what is it, why is it important and how to create one (2)_en.srt
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009 [NEW] Create a virtual env and install Jupyter Lab to access notebooks (1).mp4
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009 [NEW] Create a virtual env and install Jupyter Lab to access notebooks (1)_en.srt
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010 [NEW] Create a virtual env and install Jupyter Lab to access notebooks (2).mp4
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010 [NEW] Create a virtual env and install Jupyter Lab to access notebooks (2)_en.srt
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011 FOR WINDOWS SYSTEMS How to create a virtual env and install Jupyter Lab.html
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012 Terminal what is it, why is it important, basic operations (1).mp4
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2.7 MB
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012 Terminal what is it, why is it important, basic operations (1)_en.srt
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013 087BENG-TERMINAL.pdf
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013 Terminal what is it, why is it important, basic operations (2).mp4
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013 Terminal what is it, why is it important, basic operations (2)_en.srt
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014 088BENG-HIDDEN-FILE-FOR-OPENAI-API-TOKEN.pdf
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014 File for secret credentials why is it important, how to create it.mp4
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3.4 MB
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014 File for secret credentials why is it important, how to create it_en.srt
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015 How to create and read Hybrid Notebooks (code + text) with Jupyter (1).mp4
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4.5 MB
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015 How to create and read Hybrid Notebooks (code + text) with Jupyter (1)_en.srt
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016 089BENG-OPERATIONS-WITH-JUPYTER-NOTEBOOKS.pdf
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016 How to create and read Hybrid Notebooks (code + text) with Jupyter (2).mp4
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8.2 MB
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016 How to create and read Hybrid Notebooks (code + text) with Jupyter (2)_en.srt
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017 QUICK INSTRUCTIONS How to create a Notebook and how to perform main operations.html
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/01 - Program presentation/
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001 001BENG-PRESENTATION.pdf
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001 Program presentation.mp4
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001 Program presentation_en.srt
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002 Opportunities this program will open for you.mp4
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002 Opportunities this program will open for you_en.srt
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003 What will you learn in this program.mp4
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21.2 MB
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003 What will you learn in this program_en.srt
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004 Materials included in the program.mp4
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6.3 MB
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004 Materials included in the program_en.srt
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005 Who is this program for.mp4
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6.6 MB
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005 Who is this program for_en.srt
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1.7 KB
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006 What makes this program different.mp4
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10.0 MB
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006 What makes this program different_en.srt
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3.9 KB
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007 Become part of the Alumni Network.mp4
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4.1 MB
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007 Become part of the Alumni Network_en.srt
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008 Distinguish yourself as Honor Student.mp4
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14.7 MB
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008 Distinguish yourself as Honor Student_en.srt
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009 Get Consulting Gigs through the Alumni Network.mp4
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64.8 MB
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009 Get Consulting Gigs through the Alumni Network_en.srt
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010 Get Job Offers through the Alumni Network.mp4
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39.2 MB
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010 Get Job Offers through the Alumni Network_en.srt
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011 Find Future Startup Team Members through the Alumni Network.mp4
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24.9 MB
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011 Find Future Startup Team Members through the Alumni Network_en.srt
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012 Introduction of the Instructor.mp4
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012 Introduction of the Instructor_en.srt
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013 IMPORTANT Please do this if you want us to keep adding new sections.mp4
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013 IMPORTANT Please do this if you want us to keep adding new sections_en.srt
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014 Share your progress.mp4
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014 Share your progress_en.srt
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/02 - Tips for the students/
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001 The 3 Alternative Rhythms Beginner, With some Experience, Expert.mp4
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51.1 MB
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001 The 3 Alternative Rhythms Beginner, With some Experience, Expert_en.srt
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002 002BENG-PRACTICAL-TIPS.pdf
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002 Tips for the students.mp4
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002 Tips for the students_en.srt
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003 Practical tips for the students.mp4
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003 Practical tips for the students_en.srt
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004 003BENG-THE-SECRET-TO-SUCCESS.pdf
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56.7 KB
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004 The secret to successfully completing this bootcamp.mp4
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23.3 MB
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004 The secret to successfully completing this bootcamp_en.srt
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/03 - INTRODUCTION LLM Apps, the key to the New AI/
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001 004BENG-LLM-APPS-THE-UNIVERSALIZATION-OF-AI.pdf
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52.9 KB
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001 LLM Apps, the key to the New AI.mp4
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001 LLM Apps, the key to the New AI_en.srt
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002 LLM Apps and the universalization of AI.mp4
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25.8 MB
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002 LLM Apps and the universalization of AI_en.srt
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/04 - ChatGPT vs. LLM Apps/
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001 ChatGPT vs. LLM Apps.mp4
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37.0 MB
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001 ChatGPT vs. LLM Apps_en.srt
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9.7 KB
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/05 - Download the two books included with the program/
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001 Download the two books included with the program.html
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0.1 KB
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001 EBOOK-100-AI-Startups.pdf
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1.3 MB
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001 EBOOK-Keys-to-AI.pdf
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1.0 MB
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/06 - PART 1 IMPORTANCE OF ARTIFICIAL INTELLIGENCE AND GENERATIVE AI/
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001 006BENG-WHAT-IS-AI.pdf
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325.2 KB
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001 007BENG-CHANGES-INTRODUCED.pdf
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38.4 KB
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001 Intro to Artificial Intelligence.mp4
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1.8 MB
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001 Intro to Artificial Intelligence_en.srt
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002 Artificial Intelligence What is it Why is so popular now How important is it.mp4
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43.9 MB
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002 Artificial Intelligence What is it Why is so popular now How important is it_en.srt
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14.7 KB
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003 Changes introduced by AI Introduction.mp4
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29.4 MB
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003 Changes introduced by AI Introduction_en.srt
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/07 - AI Changes in Employment/
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001 008BENG-CHANGES-IN-EMPLOYMENT.pdf
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280.0 KB
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001 AI Changes in Employment.mp4
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3.7 MB
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001 AI Changes in Employment_en.srt
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0.8 KB
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002 Jobs that will benefit the most from AI.mp4
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11.8 MB
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002 Jobs that will benefit the most from AI_en.srt
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3.8 KB
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003 Jobs most affected by AI.mp4
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10.0 MB
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003 Jobs most affected by AI_en.srt
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3.6 KB
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004 Jobs least affected by AI.mp4
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8.9 MB
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004 Jobs least affected by AI_en.srt
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3.7 KB
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005 New professions created by AI.mp4
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26.1 MB
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005 New professions created by AI_en.srt
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9.2 KB
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006 The new AI Engineers.mp4
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22.3 MB
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006 The new AI Engineers_en.srt
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7.8 KB
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/08 - AI Changes in Businesses/
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001 009BENG-CHANGES-IN-BUSINESS-1.pdf
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279.1 KB
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001 AI Changes in Businesses.mp4
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3.0 MB
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001 AI Changes in Businesses_en.srt
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0.6 KB
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002 Consequences of the changes in employment.mp4
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13.8 MB
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002 Consequences of the changes in employment_en.srt
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4.2 KB
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003 Industries with high impact.mp4
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11.6 MB
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003 Industries with high impact_en.srt
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3.7 KB
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004 Industries with median impact.mp4
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12.4 MB
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004 Industries with median impact_en.srt
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5.5 KB
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005 Industries with immediate impact.mp4
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12.7 MB
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005 Industries with immediate impact_en.srt
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4.7 KB
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/09 - AI Changes in Startups/
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001 010BENG-CHANGES-IN-STARTUPS.pdf
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561.1 KB
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001 AI Changes in Startups.mp4
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4.2 MB
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001 AI Changes in Startups_en.srt
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1.0 KB
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002 Opportunities for Startups Characteristics of the New AI.mp4
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35.1 MB
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002 Opportunities for Startups Characteristics of the New AI_en.srt
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10.7 KB
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003 Opportunities for Startups Changes in Employment.mp4
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9.4 MB
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003 Opportunities for Startups Changes in Employment_en.srt
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2.9 KB
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004 Opportunities for Startups AI impact on Businesses.mp4
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7.9 MB
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004 Opportunities for Startups AI impact on Businesses_en.srt
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2.6 KB
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005 Opportunities for Startups Book “100 AI Startups”.mp4
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16.6 MB
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005 Opportunities for Startups Book “100 AI Startups”_en.srt
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5.3 KB
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/10 - AI Changes in Society/
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001 011BENG-CHANGES-IN-SOCIETY.pdf
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266.7 KB
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001 AI Changes in Society.mp4
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2.1 MB
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001 AI Changes in Society_en.srt
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0.5 KB
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002 Social changes generated by the New AI.mp4
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10.9 MB
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002 Social changes generated by the New AI_en.srt
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3.2 KB
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003 Social challenges generated by the New AI.mp4
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8.5 MB
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003 Social challenges generated by the New AI_en.srt
|
2.9 KB
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/11 - How to introduce AI in your company/
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001 012BENG-HOW-TO-INTRODUCE-AI-IN-YOUR-COMPANY.pdf
|
309.7 KB
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001 How to introduce AI in your company.mp4
|
5.0 MB
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001 How to introduce AI in your company_en.srt
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1.0 KB
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002 Plan to introduce AI in your company.mp4
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13.9 MB
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002 Plan to introduce AI in your company_en.srt
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3.4 KB
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003 Tech and Business Analysis to introduce AI in your company.mp4
|
17.0 MB
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003 Tech and Business Analysis to introduce AI in your company_en.srt
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4.4 KB
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004 How to select the right pilot project to introduce AI in your company.mp4
|
13.7 MB
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004 How to select the right pilot project to introduce AI in your company_en.srt
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4.1 KB
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005 How to form the first AI Team in your company.mp4
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12.0 MB
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005 How to form the first AI Team in your company_en.srt
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3.2 KB
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006 How to prepare the AI Strategy of your company.mp4
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8.6 MB
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006 How to prepare the AI Strategy of your company_en.srt
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2.5 KB
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007 Example Plan to adopt a new LLM App in your company.mp4
|
15.0 MB
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007 Example Plan to adopt a new LLM App in your company_en.srt
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3.9 KB
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/12 - The new AI Training/
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001 013BENG-AI-TRAINING.pdf
|
291.6 KB
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001 The new AI Training.mp4
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3.1 MB
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001 The new AI Training_en.srt
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0.7 KB
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002 AI Training in your company an strategic necessity.mp4
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3.6 MB
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002 AI Training in your company an strategic necessity_en.srt
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1.2 KB
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003 Who should get AI Training in your company.mp4
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5.7 MB
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003 Who should get AI Training in your company_en.srt
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2.2 KB
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004 How to design an AI Training Plan for your company.mp4
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6.5 MB
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004 How to design an AI Training Plan for your company_en.srt
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1.7 KB
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005 The new AI Training for engineers.mp4
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17.6 MB
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005 The new AI Training for engineers_en.srt
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5.5 KB
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/13 - The new AI creates opportunities for consulting, advisors and marketing agencies/
|
001 014BENG-OPPORTUNITIES-FOR-CONSULTING-FIRMS.pdf
|
85.2 KB
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001 The new AI creates opportunities for consulting, advisors and marketing agencies.mp4
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3.4 MB
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001 The new AI creates opportunities for consulting, advisors and marketing agencies_en.srt
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0.9 KB
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002 Opportunities for consulting firms, business advisors, and marketing agencies.mp4
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24.8 MB
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002 Opportunities for consulting firms, business advisors, and marketing agencies_en.srt
|
7.3 KB
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/14 - PART 2 LLM APPS, THE GENERATIVE AI APPLICATIONS WITH THE HIGHEST POTENTIAL/
|
001 015BENG-WHAT-ARE-LLM-APPS.pdf
|
32.0 KB
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001 016BENG-THE-MYTH-OF-THE-PREREQUISITES-FOR-LEARNING.pdf
|
30.1 KB
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001 017BENG-TYPES-OF-STUDENTS-AND-REASONS-FOR-LEARNING.pdf
|
27.3 KB
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001 018BENG-BUILD-VS-HIRE.pdf
|
39.3 KB
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001 019BENG-THE-LONG-ROAD-FROM-TOY-DEMO-TO-PROFESSIONAL-APP.pdf
|
38.2 KB
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001 020BENG-PROFESSIONAL-OPPORTUNITIES-OF-THE-LLM-APP-DEVELOPER.pdf
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31.8 KB
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001 Intro LLM Apps, the Generative AI applications with the highest potential.mp4
|
5.4 MB
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001 Intro LLM Apps, the Generative AI applications with the highest potential_en.srt
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1.1 KB
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002 What is an LLM App.mp4
|
12.6 MB
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002 What is an LLM App_en.srt
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5.5 KB
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003 The myth of pre-requisites for learning.mp4
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19.7 MB
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003 The myth of pre-requisites for learning_en.srt
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7.7 KB
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004 Most frequent types of students reasons to learn.mp4
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21.6 MB
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004 Most frequent types of students reasons to learn_en.srt
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6.4 KB
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005 DIY or hire an external professional.mp4
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13.7 MB
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005 DIY or hire an external professional_en.srt
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4.6 KB
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006 The long way from the “toy demo” to the professional app.mp4
|
16.2 MB
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006 The long way from the “toy demo” to the professional app_en.srt
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4.5 KB
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007 Job opportunities for the LLM App Developer.mp4
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27.1 MB
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007 Job opportunities for the LLM App Developer_en.srt
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7.8 KB
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/15 - Use Cases for LLM Applications/
|
001 021BENG-USE-CASES-LLMS.pdf
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50.5 KB
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001 022BENG-LLMS-USE-CASES-IN-DATA-ANALYSIS-AND-CONTENT-CREATION.pdf
|
37.1 KB
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001 023BENG-USES-FOR-DATA-SCIENTISTS.pdf
|
42.4 KB
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001 024BENG-LLM-APP-TYPES-BY-LEVELS-OF-REASONING.pdf
|
40.2 KB
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001 028BENG-GEN-AI-USE-CASES.pdf
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59.8 KB
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001 041BENG-TOP-LLM-USE-CASES.pdf
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32.2 KB
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001 Use Cases for LLM Applications.mp4
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14.7 MB
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001 Use Cases for LLM Applications_en.srt
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4.5 KB
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002 Use Cases for LLM Apps by Industry.mp4
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36.0 MB
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002 Use Cases for LLM Apps by Industry_en.srt
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14.8 KB
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003 Use Cases for LLM Apps in Startups.mp4
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11.0 MB
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003 Use Cases for LLM Apps in Startups_en.srt
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4.4 KB
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004 Use Cases for LLM Apps in Professions.mp4
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11.4 MB
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004 Use Cases for LLM Apps in Professions_en.srt
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4.9 KB
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005 Most frequent Use Cases for LLM Apps.mp4
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14.4 MB
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005 Most frequent Use Cases for LLM Apps_en.srt
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4.8 KB
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006 Use Cases for LLM Apps by autonomy level.mp4
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17.6 MB
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006 Use Cases for LLM Apps by autonomy level_en.srt
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5.2 KB
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/16 - Intro to LLMs/
|
001 025BENG-ORIGINS-OF-LLM-APPS-AI-ML-NLP-LLM.pdf
|
31.5 KB
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001 031BENG-HOW-BIG-ARE-LLMS.pdf
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33.7 KB
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001 032BENG-WHAT-ARE-FOUNDATION-LLM.pdf
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36.4 KB
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001 Intro to LLMs.mp4
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2.2 MB
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001 Intro to LLMs_en.srt
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0.5 KB
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002 Origins of LLM Apps AI, ML, NLP, Generative AI, LLMs.mp4
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17.1 MB
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002 Origins of LLM Apps AI, ML, NLP, Generative AI, LLMs_en.srt
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4.4 KB
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003 LLM size, precision, and cost.mp4
|
13.4 MB
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003 LLM size, precision, and cost_en.srt
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3.7 KB
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004 The Foundation LLM Models.mp4
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11.8 MB
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004 The Foundation LLM Models_en.srt
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3.2 KB
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/17 - LLMs Basic Concepts/
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001 033BENG-WHAT-IS-THE-CONTEXT-WINDOW.pdf
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34.5 KB
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001 034BENG-WHAT-ARE-TOKENS.pdf
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29.4 KB
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001 035BENG-PROMPTS-AND-RELATIONSHIP-WITH-CONTEXT.pdf
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33.3 KB
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001 036BENG-PROMPT-ENGINEERING-AND-ITS-IMPORTANCE.pdf
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40.8 KB
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001 037BENG-HALLUCINATIONS.pdf
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32.8 KB
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001 LLMs Basic Concepts.mp4
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2.3 MB
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001 LLMs Basic Concepts_en.srt
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0.5 KB
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002 What is the Context Window.mp4
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8.1 MB
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002 What is the Context Window_en.srt
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2.0 KB
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003 What are Tokens.mp4
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5.1 MB
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003 What are Tokens_en.srt
|
2.0 KB
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004 What are Prompts.mp4
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8.4 MB
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004 What are Prompts_en.srt
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3.7 KB
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005 What is Prompt Engineering.mp4
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40.4 MB
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005 What is Prompt Engineering_en.srt
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14.5 KB
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006 What are Hallucinations.mp4
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13.3 MB
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006 What are Hallucinations_en.srt
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4.8 KB
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/18 - Architecture of an LLM App/
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001 038BENG-BASIC-LLM-APP-ARCHITECTURE.pdf
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30.8 KB
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001 039BENG-ADVANCED-ARCHITECTURE-LLM-APP.pdf
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33.5 KB
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001 Architecture of an LLM App.mp4
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2.0 MB
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001 Architecture of an LLM App_en.srt
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0.4 KB
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002 Basic Architecture of an LLM App.mp4
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5.5 MB
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002 Basic Architecture of an LLM App_en.srt
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1.2 KB
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003 Advanced Architecture of an LLM App.mp4
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19.6 MB
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003 Advanced Architecture of an LLM App_en.srt
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4.2 KB
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004 Preview of a professional LLM App (1).mp4
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57.2 MB
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004 Preview of a professional LLM App (1)_en.srt
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8.7 KB
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005 Preview of a professional LLM App (2).mp4
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17.5 MB
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005 Preview of a professional LLM App (2)_en.srt
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3.9 KB
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/19 - Details of the advanced architecture of an LLM Application/
|
001 040BENG-TOP-CONSIDERATIONS-TO-CHOOSE-FOUNDATION-MODEL.pdf
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27.3 KB
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001 042BENG-TOP-LLMs-USED.pdf
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30.5 KB
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001 043BENG-ALTERNATIVE-LLMS-PALM.pdf
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58.9 KB
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001 044BENG-STACK-USED.pdf
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43.9 KB
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001 045BENG-ORCHESTRATION-FRAMEWORKS.pdf
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37.1 KB
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001 046BENG-APP-DEBUGGING-WITH-LANGSMITH.pdf
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40.3 KB
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001 047BENG-TOP-EVALUATION-METHODS.pdf
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30.6 KB
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001 048BENG-EVALUATION-MEASURING-RAG-PERFORMANCE.pdf
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36.1 KB
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001 049BENG-OPTIMIZING-RAG-APPS.pdf
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44.5 KB
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001 050BENG-TOP-CHALLENGES-DEPLOYING-TO-PRODUCTION.pdf
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28.0 KB
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001 051BENG-MICROSERVICES-ARCHITECTURE.pdf
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32.8 KB
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001 Details of the advanced architecture of an LLM Application.mp4
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3.5 MB
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001 Details of the advanced architecture of an LLM Application_en.srt
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0.7 KB
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002 Selection of Foundation LLMs.mp4
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9.3 MB
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002 Selection of Foundation LLMs_en.srt
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3.1 KB
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003 Stack of tools.mp4
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39.6 MB
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003 Stack of tools_en.srt
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9.8 KB
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004 Orchestration Frameworks.mp4
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17.1 MB
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004 Orchestration Frameworks_en.srt
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5.1 KB
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005 Other interesting notes.mp4
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12.7 MB
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005 Other interesting notes_en.srt
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3.3 KB
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/20 - The RAG Technique (Retrieval Augmented Generation)/
|
001 052BENG-OVERCOMING-CONTEXT-WINDOW.pdf
|
36.0 KB
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001 053BENG-THE-RAG-TECHNIQUE.pdf
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34.4 KB
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001 054BENG-RAG-VS-IN-CONTEXT-LEARNING.pdf
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37.4 KB
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001 055BENG-RAG-IS-ESSENTIAL-FOR-LLM-APP-DEV.pdf
|
31.4 KB
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001 056BENG-COMPONENTS-OF-RAG.pdf
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34.8 KB
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001 057BENG-EMBEDDINGS.pdf
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32.5 KB
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001 058BENG-VECTOR-DATABASES.pdf
|
36.8 KB
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001 059BENG-CHALLENGES-OF-RAG.pdf
|
41.6 KB
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001 113BENG-RAG-TECHNIQUE-ADVANCED-CONCEPTS.pdf
|
58.5 KB
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001 The RAG Technique (Retrieval Augmented Generation).mp4
|
2.4 MB
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001 The RAG Technique (Retrieval Augmented Generation)_en.srt
|
0.7 KB
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002 Basic Concepts.mp4
|
55.7 MB
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002 Basic Concepts_en.srt
|
15.4 KB
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003 Components.mp4
|
13.0 MB
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003 Components_en.srt
|
5.6 KB
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004 RAG Technique Advanced Concepts.mp4
|
12.6 MB
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004 RAG Technique Advanced Concepts_en.srt
|
5.0 KB
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005 Challenges.mp4
|
8.9 MB
|
005 Challenges_en.srt
|
2.6 KB
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/21 - Selecting Orchestration Framework LangChain, LlamaIndex or OpenAI API/
|
001 060BENG-LANGCHAIN-LLAMAINDEX-OR-OPENAI-API.pdf
|
36.2 KB
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001 Selecting Orchestration Framework LangChain, LlamaIndex or OpenAI API.mp4
|
2.4 MB
|
001 Selecting Orchestration Framework LangChain, LlamaIndex or OpenAI API_en.srt
|
0.5 KB
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002 LangChain, LlamaIndex or OpenAI API.mp4
|
74.9 MB
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002 LangChain, LlamaIndex or OpenAI API_en.srt
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21.8 KB
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003 [UPDATE] LangChain makes a great move implications of the LangSmith News.mp4
|
49.0 MB
|
003 [UPDATE] LangChain makes a great move implications of the LangSmith News_en.srt
|
13.9 KB
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/
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Readme.txt
|
0.1 KB
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/23 - Basic LangChain/
|
001 LC-V010-001.ipynb
|
17.4 KB
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001 Warning Modifications introduced by the LangChain v0.1.0 version.mp4
|
49.8 MB
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001 Warning Modifications introduced by the LangChain v0.1.0 version_en.srt
|
14.2 KB
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002 Examples of .env file and data folder.mp4
|
13.2 MB
|
002 Examples of .env file and data folder_en.srt
|
4.2 KB
|
003 Links to data folder and example of .env file.html
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0.2 KB
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004 Basic LangChain.mp4
|
4.0 MB
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004 Basic LangChain_en.srt
|
1.2 KB
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005 090BENG-BASIC-LANGCHAIN-IN-15-MIN.pdf
|
38.2 KB
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005 Basic LangChain in 15 minutes.mp4
|
211.4 MB
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005 Basic LangChain in 15 minutes_en.srt
|
28.4 KB
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005 v1-052-langchain-in-15-mins.ipynb
|
17.9 KB
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006 062ENG-LANGCHAIN-MODELS.pdf
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36.2 KB
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006 Models.mp4
|
68.5 MB
|
006 Models_en.srt
|
6.7 KB
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006 v1-401-langchain-models.ipynb
|
11.8 KB
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006 v1-402-langchain-models-LLaMA2.ipynb
|
3.2 KB
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007 063BENG-LANGCHAIN-PROMPTS-AND-PROMPT-TEMPLATES.pdf
|
33.5 KB
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007 Prompts and prompt templates.mp4
|
51.3 MB
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007 Prompts and prompt templates_en.srt
|
6.2 KB
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007 v1-403-langchain-prompts.ipynb
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7.7 KB
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008 064BENG-FEW-SHOT-PROMPT-TEMPLATE.pdf
|
30.3 KB
|
008 Few shot prompt templates.mp4
|
53.1 MB
|
008 Few shot prompt templates_en.srt
|
5.5 KB
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008 v1-801-langchain-few-shot-template.ipynb
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7.9 KB
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009 065BENG-LANGCHAIN-OUTPUT-PARSERS.pdf
|
31.5 KB
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009 Output parsers.mp4
|
82.6 MB
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009 Output parsers_en.srt
|
8.0 KB
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009 v1-404-langchain-output-parsers.ipynb
|
13.3 KB
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010 066BENG-LANGCHAIN-MEMORY.pdf
|
32.7 KB
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010 Memory.mp4
|
91.1 MB
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010 Memory_en.srt
|
8.8 KB
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010 v1-405-langchain-memory.ipynb
|
35.1 KB
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011 067BENG-LANGCHAIN-CHAINS.pdf
|
31.6 KB
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011 Chains.mp4
|
162.7 MB
|
011 Chains_en.srt
|
16.2 KB
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011 v1-406-langchain-chains.ipynb
|
37.6 KB
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012 068BENG-LANGCHAIN-DOCUMENT-LOADERS.pdf
|
33.6 KB
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012 Document loaders.mp4
|
76.9 MB
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012 Document loaders_en.srt
|
8.5 KB
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012 v1-407-langchain-document-loaders.ipynb
|
34.8 KB
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013 069BENG-LANGCHAIN-SPLITTERS.pdf
|
32.5 KB
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013 Splitters.mp4
|
124.5 MB
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013 Splitters_en.srt
|
13.2 KB
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013 v1-408-langchain-splitters.ipynb
|
12.8 KB
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014 070BENG-LANGCHAIN-CALLBACKS.pdf
|
30.0 KB
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014 Callbacks.mp4
|
64.6 MB
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014 Callbacks_en.srt
|
7.6 KB
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014 v1-803-langchain-callbacks.ipynb
|
6.9 KB
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015 071BENG-LANGCHAIN-OPENAI-FUNCTIONS.pdf
|
32.3 KB
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015 OpenAI functions.mp4
|
215.9 MB
|
015 OpenAI functions_en.srt
|
21.2 KB
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015 v1-804-langchain-openai-functions-app-avanzada-comida-china.ipynb
|
20.9 KB
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016 072BENG-LANGCHAIN-CONNECT-WITH-FASTAPI.pdf
|
33.0 KB
|
016 Connect with fastAPI.mp4
|
61.6 MB
|
016 Connect with fastAPI_en.srt
|
6.1 KB
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016 v1-805-basic-rag-app-qa-to-fastapi.ipynb
|
18.7 KB
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017 073BENG-LANGCHAIN-AGENTS.pdf
|
34.7 KB
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017 Agents.mp4
|
110.3 MB
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017 Agents_en.srt
|
10.4 KB
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017 v1-806-langchain-agents.ipynb
|
102.2 KB
|
018 074BENG-LANGCHAIN-INDEXING-API.pdf
|
33.8 KB
|
018 Indexing API.mp4
|
34.9 MB
|
018 Indexing API_en.srt
|
3.7 KB
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018 v1-807-langchain-indexing-api.ipynb
|
17.5 KB
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/24 - LangChain Expression Language/
|
001 LangChain Expression Language.mp4
|
6.9 MB
|
001 LangChain Expression Language_en.srt
|
2.5 KB
|
002 075BENG-LCEL-CHAINS.pdf
|
28.7 KB
|
002 LCEL Chains.mp4
|
32.6 MB
|
002 LCEL Chains_en.srt
|
3.9 KB
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002 v1-809-LCEL-chains.ipynb
|
3.0 KB
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003 076BENG-LCEL-OUTPUT-PARSERS.pdf
|
28.4 KB
|
003 LCEL Output parsers.mp4
|
21.9 MB
|
003 LCEL Output parsers_en.srt
|
2.7 KB
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003 v1-810-LCEL-output-parsers.ipynb
|
3.3 KB
|
004 077BENG-LCEL-ARGUMENTS.pdf
|
28.4 KB
|
004 LCEL Arguments.mp4
|
20.7 MB
|
004 LCEL Arguments_en.srt
|
2.1 KB
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004 v1-811-LCEL-kargs-arguments.ipynb
|
3.9 KB
|
005 078BENG-LCEL-OPENAI-FUNCTIONS.pdf
|
28.4 KB
|
005 LCEL OpenAI functions.mp4
|
19.1 MB
|
005 LCEL OpenAI functions_en.srt
|
1.7 KB
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005 v1-812-LCEL-openai-functions.ipynb
|
4.9 KB
|
006 079BENG-LCEL-RAG-APPS.pdf
|
29.2 KB
|
006 LCEL Aplicaciones RAG.mp4
|
57.2 MB
|
006 LCEL Aplicaciones RAG_en.srt
|
6.7 KB
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006 v1-813-LCEL-basic-rag-app-qa.ipynb
|
12.3 KB
|
/25 - LangChain Advanced Components/
|
001 LangChain Advanced Components.mp4
|
3.6 MB
|
002 080BENG-LANGCHAIN-LANGSMITH.pdf
|
34.3 KB
|
002 LangSmith.mp4
|
94.6 MB
|
002 v1-808-langchain-langsmith.ipynb
|
22.8 KB
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003 081BENG-LANGCHAIN-LANGSERVE.pdf
|
32.8 KB
|
003 LangServe.mp4
|
41.2 MB
|
003 LangServe_en.srt
|
4.2 KB
|
003 v1-814-langserve.ipynb
|
4.0 KB
|
004 082BENG-LANGCHAIN-TEMPLATES.pdf
|
31.9 KB
|
004 LangChain Templates.mp4
|
53.2 MB
|
004 LangChain Templates_en.srt
|
5.7 KB
|
004 v1-816-langchain-templates.ipynb
|
2.9 KB
|
005 083BENG-LANGCHAIN-CHAT-WITH-LANGCHAIN.pdf
|
30.3 KB
|
005 The new LangChain Chatbot.mp4
|
7.8 MB
|
005 The new LangChain Chatbot_en.srt
|
1.6 KB
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/26 - Level 1 Applications “Toy Demos” with LangChain/
|
001 Reminder Modifications introduced by the LangChain v0.1.0 version.mp4
|
49.8 MB
|
001 Reminder Modifications introduced by the LangChain v0.1.0 version_en.srt
|
14.2 KB
|
002 Reminder Examples of .env file and data folder.mp4
|
13.2 MB
|
002 Reminder Examples of .env file and data folder_en.srt
|
4.2 KB
|
003 Reminder Link to data folder and sample .env file.html
|
0.2 KB
|
004 Level 1 Applications “Toy Demos” with LangChain.mp4
|
6.4 MB
|
004 Level 1 Applications “Toy Demos” with LangChain_en.srt
|
2.3 KB
|
005 Note Quick trick to avoid the deprecation warning messages.html
|
0.5 KB
|
006 091BENG-BASIC-APP-SUMMARIZE-A-LONG-ARTICLE.pdf
|
33.7 KB
|
006 Basic app summarize long article.mp4
|
53.2 MB
|
006 Basic app summarize long article_en.srt
|
5.9 KB
|
006 v1-053-basic-app-summarization.ipynb
|
7.5 KB
|
007 092BENG-BASIC-RAG-APP-QA-OF-DOCUMENT.pdf
|
35.4 KB
|
007 Basic RAG app document QA.mp4
|
89.7 MB
|
007 Basic RAG app document QA_en.srt
|
10.6 KB
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007 v1-054-basic-rag-app-qa.ipynb
|
11.2 KB
|
008 093BENG-BASIC-APP-EXTRACT-DATA-FROM-CONVERSATION.pdf
|
33.0 KB
|
008 Basic app extract structured data from conversation.mp4
|
71.8 MB
|
008 Basic app extract structured data from conversation_en.srt
|
8.0 KB
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008 v1-055-basic-app-text-extraction.ipynb
|
7.0 KB
|
009 094BENG-BASIC-APP-EVALUATE-A-QA-APP.pdf
|
33.9 KB
|
009 Basic app eval of QA app.mp4
|
113.7 MB
|
009 Basic app eval of QA app_en.srt
|
11.7 KB
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009 v1-056-basic-app-evaluation.ipynb
|
10.0 KB
|
010 095BENG-BASIC-APP-ASK-A-DATABASE.pdf
|
31.6 KB
|
010 Basic app ask a database.mp4
|
49.6 MB
|
010 Basic app ask a database_en.srt
|
6.3 KB
|
010 v1-057-basic-app-querying-tabular-data.ipynb
|
6.1 KB
|
011 096BENG-BASIC-APP-ASK-A-GITHUB-REPO.pdf
|
33.3 KB
|
011 Basic app ask a github repo.mp4
|
14.7 MB
|
011 Basic app ask a github repo_en.srt
|
4.5 KB
|
011 v1-058-basic-app-qa-a-github-repo.ipynb
|
8.6 KB
|
012 097BENG-BASIC-APP-ASK-TO-AN-API.pdf
|
31.5 KB
|
012 Basic app ask an API.mp4
|
62.6 MB
|
012 Basic app ask an API_en.srt
|
6.1 KB
|
012 v1-059-basic-app-interacting-with-api.ipynb
|
20.7 KB
|
013 098BENG-BASIC-APP-CHATBOT-WITH-MEMORY.pdf
|
31.2 KB
|
013 Basic app chatbot with personality and memory.mp4
|
37.8 MB
|
013 Basic app chatbot with personality and memory_en.srt
|
4.6 KB
|
013 v1-060-basic-app-chatbot.ipynb
|
10.4 KB
|
014 099BENG-BASIC-APP-RAG-WITH-DEEPLAKE.pdf
|
32.9 KB
|
014 Basic app RAG with DeepLake.mp4
|
153.7 MB
|
014 Basic app RAG with DeepLake_en.srt
|
17.8 KB
|
014 v1-061-basic-rag-with-deeplake.ipynb
|
14.0 KB
|
015 100BENG-BASIC-APP-A-SIMPLE-AGENT.pdf
|
33.1 KB
|
015 Basic app simple agent.mp4
|
137.0 MB
|
015 Basic app simple agent_en.srt
|
13.7 KB
|
015 v1-062-basic-app-simple-agent.ipynb
|
80.3 KB
|
016 101BENG-BASIC-APP-ADVANCED-OUTPUT-PARSER.pdf
|
31.5 KB
|
016 Basic app advanced output parser.mp4
|
119.0 MB
|
016 Basic app advanced output parser_en.srt
|
12.0 KB
|
016 v1-063-basic-app-with-pydantic-output-parser.ipynb
|
7.9 KB
|
/27 - Level 2 Applications “Toy Demos” with LangChain and “Toy UIs” with Streamlit/
|
001 LC-V010-001.ipynb
|
17.4 KB
|
001 Reminder Modifications introduced by the LangChain v0.1.0 version.mp4
|
49.8 MB
|
001 Reminder Modifications introduced by the LangChain v0.1.0 version_en.srt
|
14.2 KB
|
002 Reminder Examples of .env file and data folder.mp4
|
13.2 MB
|
002 Reminder Examples of .env file and data folder_en.srt
|
4.2 KB
|
003 Reminder Link to data folder and sample of .env file.html
|
0.2 KB
|
004 Level 2 Applications “Toy Demos” with LangChain and “Toy UIs” with Streamlit.mp4
|
4.5 MB
|
004 Level 2 Applications “Toy Demos” with LangChain and “Toy UIs” with Streamlit_en.srt
|
0.9 KB
|
005 Intro to the level 2 apps.mp4
|
23.5 MB
|
005 Intro to the level 2 apps_en.srt
|
7.6 KB
|
005 v1-102BENG-END-TO-END-APPS-WITH-STREAMLIT.pdf
|
35.1 KB
|
006 103BENG-FROM-POC-TO-PRODUCTION.pdf
|
34.1 KB
|
006 From Proof of Concept to Production.mp4
|
19.7 MB
|
006 From Proof of Concept to Production_en.srt
|
7.7 KB
|
007 104BENG-BASIC-STREAMLIT.pdf
|
38.0 KB
|
007 Basic Streamlit.mp4
|
58.2 MB
|
007 Basic Streamlit_en.srt
|
20.2 KB
|
008 105BENG-WRITING-APP-IMPROVE-REDACTION.pdf
|
33.1 KB
|
008 App for re-writing informal text.mp4
|
77.6 MB
|
008 App for re-writing informal text_en.srt
|
20.2 KB
|
009 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
010 106BENG-WRITING-APP-BLOG-POST.pdf
|
32.5 KB
|
010 App to write a Blog Post from a topic.mp4
|
45.0 MB
|
010 App to write a Blog Post from a topic_en.srt
|
6.7 KB
|
011 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
012 107BENG-SUMMARIZING-APP-TXT-FILE.pdf
|
32.3 KB
|
012 App to summarize the content of a TXT file.mp4
|
27.6 MB
|
012 App to summarize the content of a TXT file_en.srt
|
5.3 KB
|
013 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
014 108BENG-SUMMARIZING-APP-WRITING-TEXT.pdf
|
32.5 KB
|
014 App to summarize text.mp4
|
23.3 MB
|
014 App to summarize text_en.srt
|
3.9 KB
|
015 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
016 109BENG-EXTRACTING-APP-KEY-DATA-FROM-PRODUCT-REVIEW.pdf
|
33.0 KB
|
016 App to Extract Key Data from a Product Review.mp4
|
36.9 MB
|
016 App to Extract Key Data from a Product Review_en.srt
|
5.9 KB
|
017 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
018 110BENG-RAG-APP-PDF.pdf
|
30.4 KB
|
018 RAG App to ask about the content of a private PDF file.mp4
|
21.1 MB
|
018 RAG App to ask about the content of a private PDF file_en.srt
|
4.4 KB
|
019 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
020 112BENG-RAG-APP-CSV.pdf
|
56.0 KB
|
020 RAG App to ask about the content of a private CSV file.mp4
|
16.0 MB
|
020 RAG App to ask about the content of a private CSV file_en.srt
|
3.1 KB
|
021 Link to download the code of the app in Github and URL to try the app.html
|
0.5 KB
|
022 114BENG-EVALUATING-APP-RAG.pdf
|
31.2 KB
|
022 App to Evaluate a RAG App.mp4
|
27.5 MB
|
022 App to Evaluate a RAG App_en.srt
|
7.4 KB
|
023 Link to download the code of the app in Github and URL to try the app.html
|
0.6 KB
|
/28 - LlamaIndex/
|
001 LlamaIndex.mp4
|
8.0 MB
|
001 LlamaIndex_en.srt
|
3.1 KB
|
002 116BENG-LLAMAINDEX.pdf
|
41.5 KB
|
002 1004-llamaindex.ipynb
|
5.8 KB
|
002 Introduction to LlamaIndex.mp4
|
85.8 MB
|
002 Introduction to LlamaIndex_en.srt
|
12.1 KB
|
003 117BENG-LLAMAINDEX-IN-DEPTH.pdf
|
38.4 KB
|
003 1008-llamaindex-deep-dive.ipynb
|
20.6 KB
|
003 LlamaIndex in depth.mp4
|
215.8 MB
|
003 LlamaIndex in depth_en.srt
|
24.4 KB
|
/29 - The OpenAI API/
|
001 The OpenAI API.mp4
|
4.7 MB
|
001 The OpenAI API_en.srt
|
1.2 KB
|
002 118BENG-THE-NEW-OPENAI-API-VS-LANGCHAIN.pdf
|
48.4 KB
|
002 1001-changes-opeai-api.ipynb
|
16.0 KB
|
002 The OpenAI API as alternative to LangChain and LlamaIndex.mp4
|
156.9 MB
|
002 The OpenAI API as alternative to LangChain and LlamaIndex_en.srt
|
19.6 KB
|
003 119BENG-OPENAI-API.pdf
|
39.3 KB
|
003 1002-openai-api.ipynb
|
8.9 KB
|
003 The OpenAI API in depth.mp4
|
42.9 MB
|
003 The OpenAI API in depth_en.srt
|
4.5 KB
|
004 120BENG-OPENAI-FUNCTIONS.pdf
|
30.4 KB
|
004 The OpenAI Functions.mp4
|
31.0 MB
|
004 The OpenAI Functions_en.srt
|
3.3 KB
|
/30 - Intro to Level 3 LLM Applications Professional Applications/
|
001 Intro to Level 3 LLM Applications Professional Applications.mp4
|
2.8 MB
|
001 Intro to Level 3 LLM Applications Professional Applications_en.srt
|
0.7 KB
|
002 Intro to Full-Stack Applications (1).mp4
|
4.2 MB
|
002 Intro to Full-Stack Applications (1)_en.srt
|
1.2 KB
|
003 121BENG-INTRO-TO-WEB-APPS.pdf
|
77.6 KB
|
003 Intro to Full-Stack Applications (2).mp4
|
155.2 MB
|
003 Intro to Full-Stack Applications (2)_en.srt
|
25.2 KB
|
004 Front-End Key Elements in a Level 3 Application.mp4
|
3.6 MB
|
004 Front-End Key Elements in a Level 3 Application_en.srt
|
1.0 KB
|
005 122BENG-NEXTJS-AND-VERCEL-IN-DEPTH.pdf
|
40.1 KB
|
005 1009-vercel-deep-dive.ipynb
|
2.9 KB
|
005 Next.js and Vercel.mp4
|
85.8 MB
|
005 Next.js and Vercel_en.srt
|
10.8 KB
|
006 123BENG-LLAMAINDEX-WITH-VERCEL.pdf
|
68.7 KB
|
006 1012-llamaindex-with-vercel.ipynb
|
5.1 KB
|
006 Front-End Key Elements with an Orchestration Framework LlamaIndex.mp4
|
45.0 MB
|
006 Front-End Key Elements with an Orchestration Framework LlamaIndex_en.srt
|
5.6 KB
|
007 Link to download the code of the previous lesson from Github.html
|
0.2 KB
|
008 Back-End Key Elements in a Level 3 Application.mp4
|
3.7 MB
|
008 Back-End Key Elements in a Level 3 Application_en.srt
|
1.1 KB
|
009 124BENG-FASTAPI.pdf
|
32.9 KB
|
009 1022-FastAPI.ipynb
|
10.7 KB
|
009 FastAPI.mp4
|
28.0 MB
|
009 FastAPI_en.srt
|
3.8 KB
|
010 Link to download the code of the previous lesson from Github.html
|
0.2 KB
|
011 125BENG-FASTAPI-WITH-LANGCHAIN.pdf
|
29.7 KB
|
011 1023-minimal-LC-fastapi-starterkit.ipynb
|
1.8 KB
|
011 Back-End Key Elements with an Orchestration Framework LangChain.mp4
|
37.7 MB
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011 Back-End Key Elements with an Orchestration Framework LangChain_en.srt
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5.5 KB
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012 Link to download the code of the previous lesson.html
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/31 - Level 3 LLM Applications Professional Applications/
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001 Level 3 LLM Applications Professional Applications.mp4
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5.3 MB
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001 Level 3 LLM Applications Professional Applications_en.srt
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0.9 KB
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002 Reminder Architecture of an Advanced LLM App.mp4
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19.6 MB
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002 Reminder Architecture of an Advanced LLM App_en.srt
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4.2 KB
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003 Reminder Preview of a Professional LLM App (1).mp4
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57.2 MB
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003 Reminder Preview of a Professional LLM App (1)_en.srt
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8.7 KB
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004 Reminder Preview of a Professional LLM App (2).mp4
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17.5 MB
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004 Reminder Preview of a Professional LLM App (2)_en.srt
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3.9 KB
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005 126BENG-RAG-APP-PRODUCTION-READY-TEMPLATE.pdf
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35.4 KB
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005 127BENG-SEC-INSIGHTS-FULL-STACK-APP-LLAMAINDEX.pdf
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222.5 KB
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005 128BENG-SEC-INSIGHTS-ANALYSIS-OF-THE-COMPONENTS.pdf
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139.4 KB
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005 1006-sec-insights.ipynb
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22.3 KB
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005 1007-full-stack-app-components.ipynb
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4.9 KB
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005 Reminder main elements of a Professional LLM App.mp4
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50.4 MB
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005 Reminder main elements of a Professional LLM App_en.srt
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7.0 KB
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006 130BENG-FULL-STACK-LEVEL-1-APP-TO-DO-APP.pdf
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67.3 KB
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006 1014-todo-app-fastapi-vercel-fullstack.ipynb
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106.4 KB
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006 Basic Level 3 App CRUD with FastAPI, Postgres and Next.js.mp4
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31.3 MB
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006 Basic Level 3 App CRUD with FastAPI, Postgres and Next.js_en.srt
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7.6 KB
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007 Link to download the code of the Basic Level 3 App from Github.html
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0.2 KB
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008 Basic Level 3 App What is CRUD (1).mp4
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13.6 MB
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008 Basic Level 3 App What is CRUD (1)_en.srt
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6.3 KB
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009 Basic Level 3 App What is CRUD (2).mp4
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3.5 MB
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009 Basic Level 3 App What is CRUD (2)_en.srt
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1.6 KB
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010 Basic Level 3 App How to build the Backend (1).mp4
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4.9 MB
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010 Basic Level 3 App How to build the Backend (1)_en.srt
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1.4 KB
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011 Basic Level 3 App How to build the Backend (2).mp4
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263.6 MB
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011 Basic Level 3 App How to build the Backend (2)_en.srt
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40.7 KB
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012 Basic Level 3 App How to build the Backend (3).mp4
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139.1 MB
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012 Basic Level 3 App How to build the Backend (3)_en.srt
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17.5 KB
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013 Basic Level 3 App How to build the Frontend (1).mp4
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9.5 MB
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013 Basic Level 3 App How to build the Frontend (1)_en.srt
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2.3 KB
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014 Basic Level 3 App How to build the Frontend (2).mp4
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110.1 MB
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014 Basic Level 3 App How to build the Frontend (2)_en.srt
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15.7 KB
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015 Basic Level 3 App How to start the Full Stack App (1).mp4
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4.2 MB
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015 Basic Level 3 App How to start the Full Stack App (1)_en.srt
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1.3 KB
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016 Basic Level 3 App How to start the Full Stack App (2).mp4
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34.1 MB
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016 Basic Level 3 App How to start the Full Stack App (2)_en.srt
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4.3 KB
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017 Basic Level 3 App How to deploy the backend to Render.com (1).mp4
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7.0 MB
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017 Basic Level 3 App How to deploy the backend to Render.com (1)_en.srt
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1.9 KB
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018 Basic Level 3 App How to deploy the backend to Render.com (2).mp4
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84.7 MB
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018 Basic Level 3 App How to deploy the backend to Render.com (2)_en.srt
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8.8 KB
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019 Basic Level 3 App How to deploy the frontend to Vercel.com (1).mp4
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6.6 MB
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019 Basic Level 3 App How to deploy the frontend to Vercel.com (1)_en.srt
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1.5 KB
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020 Basic Level 3 App How to deploy the frontend to Vercel.com (2).mp4
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48.2 MB
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020 Basic Level 3 App How to deploy the frontend to Vercel.com (2)_en.srt
|
6.4 KB
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021 131BENG-FULL-STACK-LEVEL-2-APP-PDF-APP.pdf
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70.3 KB
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021 1019-pdf-app-fastapi-vercel-fullstack.ipynb
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89.3 KB
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021 Medium Level 3 App CRUD integrated with AWS S3 (1).mp4
|
8.5 MB
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021 Medium Level 3 App CRUD integrated with AWS S3 (1)_en.srt
|
2.2 KB
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022 Link to download the App code from Github.html
|
0.2 KB
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023 Medium Level 3 App CRUD integrated with AWS S3 (2).mp4
|
210.2 MB
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023 Medium Level 3 App CRUD integrated with AWS S3 (2)_en.srt
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25.1 KB
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024 Medium Level 3 App CRUD integrated with AWS S3 (3).mp4
|
7.3 MB
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024 Medium Level 3 App CRUD integrated with AWS S3 (3)_en.srt
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0.9 KB
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025 132BENG-TEMPLATE-ENGLISH.pdf
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29.5 KB
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025 1024-langchain-plus-todo-app.ipynb
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7.7 KB
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025 Basic Level 3 App with Orchestration Frameworks and LLMs (1).mp4
|
12.3 MB
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025 Basic Level 3 App with Orchestration Frameworks and LLMs (1)_en.srt
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3.9 KB
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026 Reminder Modifications introduced by LangChain v010.mp4
|
49.8 MB
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026 Reminder Modifications introduced by LangChain v010_en.srt
|
14.2 KB
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027 Link to download the App code from Github.html
|
0.2 KB
|
028 Basic Level 3 App with Orchestration Frameworks and LLMs (2).mp4
|
76.0 MB
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028 Basic Level 3 App with Orchestration Frameworks and LLMs (2)_en.srt
|
11.2 KB
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029 133BENG-LANGCHAIN-IN-THE-PDF-FULL-STACK-APP.pdf
|
29.5 KB
|
029 1025-langchain-pdf-app.ipynb
|
6.5 KB
|
029 Medium Level 3 App with Orchestration Frameworks and LLMs (1).mp4
|
12.3 MB
|
029 Medium Level 3 App with Orchestration Frameworks and LLMs (1)_en.srt
|
4.3 KB
|
030 Link to download the App code from Github.html
|
0.2 KB
|
031 Medium Level 3 App with Orchestration Frameworks and LLMs (2).mp4
|
44.0 MB
|
031 Medium Level 3 App with Orchestration Frameworks and LLMs (2)_en.srt
|
6.2 KB
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032 129BENG-DEEP-DIVE-SEC-INSIGHTS-FULL-STACK-APP.pdf
|
191.4 KB
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032 1016-deep-dive-sec-insights.ipynb
|
90.4 KB
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032 Advanced Level 3 LLM App (1).mp4
|
21.1 MB
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032 Advanced Level 3 LLM App (1)_en.srt
|
5.6 KB
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033 Advanced Level 3 LLM App (2).mp4
|
104.7 MB
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033 Advanced Level 3 LLM App (2)_en.srt
|
12.8 KB
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034 134BENG-FULL-STACK-STARTER-WITH-CREATE-LLAMA.pdf
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39.4 KB
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034 135BENG-FULL-STACK-APP-CHAT-LLAMAINDEX.pdf
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31.5 KB
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034 1017-create-llama.ipynb
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7.2 KB
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034 1018-chat-llamaindex.ipynb
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1.4 KB
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034 Other interesting Level 3 LLM Apps (1).mp4
|
3.1 MB
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034 Other interesting Level 3 LLM Apps (1)_en.srt
|
1.0 KB
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035 Other interesting Level 3 LLM Apps (2).mp4
|
65.4 MB
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035 Other interesting Level 3 LLM Apps (2)_en.srt
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9.6 KB
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/32 - LLM Applications Advanced Concepts/
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001 LLM Applications Advanced Concepts.mp4
|
2.4 MB
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001 LLM Applications Advanced Concepts_en.srt
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0.6 KB
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002 136BENG-PREPARATION-OF-PRIVATE-DATABASES.pdf
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27.6 KB
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002 Database preparation.mp4
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13.8 MB
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002 Database preparation_en.srt
|
4.4 KB
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003 137BENG-ADVANCED-CONCEPTS-TO-OPTIMIZE-RAG.pdf
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33.5 KB
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003 RAG Optimization Advanced Concepts.mp4
|
21.6 MB
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003 RAG Optimization Advanced Concepts_en.srt
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6.7 KB
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004 138BENG-LATENCY-AND-SPEED-OF-LLM-APPS.pdf
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30.9 KB
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004 Latency and Speed in LLM Applications.mp4
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18.7 MB
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004 Latency and Speed in LLM Applications_en.srt
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5.7 KB
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/33 - Cost control in LLM Applications/
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001 139BENG-COST-OF-LLM-APPS.pdf
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36.6 KB
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001 Cost control in LLM Applications.mp4
|
19.6 MB
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001 Cost control in LLM Applications_en.srt
|
8.0 KB
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/34 - LLMOps/
|
001 LLMOps.mp4
|
4.8 MB
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001 LLMOps_en.srt
|
0.9 KB
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002 140BENG-LLM-OPS.pdf
|
36.4 KB
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002 Intro to LLMOps.mp4
|
26.1 MB
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002 Intro to LLMOps_en.srt
|
10.0 KB
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003 141BENG-EVALUATION-LLM-APPS-MISALIGNED-BEHAVIOR.pdf
|
30.6 KB
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003 Evaluation Misaligned Behavior.mp4
|
9.2 MB
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003 Evaluation Misaligned Behavior_en.srt
|
4.0 KB
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004 142BENG-EVALUATION-LLM-APPS-AND-LACK-OF-REPRODUCIBILITY.pdf
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29.0 KB
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004 Evaluation Lack of Reproducibility.mp4
|
4.2 MB
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004 Evaluation Lack of Reproducibility_en.srt
|
1.5 KB
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005 143BENG-LLM-OPS-MODEL-LIFECYCLE-MANAGEMENT.pdf
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40.3 KB
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005 Lifecycle Management.mp4
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14.7 MB
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005 Lifecycle Management_en.srt
|
5.4 KB
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006 144BENG-LLM-OPS-RESPONSIBLE-AI.pdf
|
40.0 KB
|
006 Responsible AI.mp4
|
56.6 MB
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006 Responsible AI_en.srt
|
13.2 KB
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007 145BENG-LLM-OPS-SOLUTIONS.pdf
|
37.0 KB
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007 LLMOps Solutions.mp4
|
23.8 MB
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007 LLMOps Solutions_en.srt
|
9.1 KB
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/35 - [NEW] LLMOps with LangSmith LLMOps Cycle & How LangSmith solves the challenges/
|
001 B2-001ENG-PROD-CYCLE-AND-LANGSMITH.pdf
|
50.0 KB
|
001 LCU-001.ipynb
|
11.6 KB
|
001 The new LangSmith Announcement.mp4
|
7.3 MB
|
001 The new LangSmith Announcement_en.srt
|
1.2 KB
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002 The new LangSmith Announcement Summary and Implications (part 1).mp4
|
12.6 MB
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002 The new LangSmith Announcement Summary and Implications (part 1)_en.srt
|
3.5 KB
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003 The new LangSmith Announcement Summary and Implications (part 2).mp4
|
77.5 MB
|
003 The new LangSmith Announcement Summary and Implications (part 2)_en.srt
|
9.0 KB
|
004 Lessons learned The Full Cycle of Building Professional LLM Apps (part 1).mp4
|
10.2 MB
|
004 Lessons learned The Full Cycle of Building Professional LLM Apps (part 1)_en.srt
|
2.0 KB
|
005 Lessons learned The Full Cycle of Building Professional LLM Apps (part 2).mp4
|
30.2 MB
|
005 Lessons learned The Full Cycle of Building Professional LLM Apps (part 2)_en.srt
|
3.4 KB
|
006 Lessons learned Main Challenges on Each Phase of the LLMOps Cycle (part 1).mp4
|
15.2 MB
|
006 Lessons learned Main Challenges on Each Phase of the LLMOps Cycle (part 1)_en.srt
|
3.7 KB
|
007 Lessons learned Main Challenges on Each Phase of the LLMOps Cycle (part 2).mp4
|
51.7 MB
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007 Lessons learned Main Challenges on Each Phase of the LLMOps Cycle (part 2)_en.srt
|
5.8 KB
|
008 How LangSmith Solves the Challenges of the Prototyping Phase (part 1).mp4
|
12.3 MB
|
008 How LangSmith Solves the Challenges of the Prototyping Phase (part 1)_en.srt
|
3.5 KB
|
009 How LangSmith Solves the Challenges of the Prototyping Phase (part 2).mp4
|
146.5 MB
|
009 How LangSmith Solves the Challenges of the Prototyping Phase (part 2)_en.srt
|
16.9 KB
|
010 How LangSmith Solves the Challenges of the Beta Testing Phase (part 1).mp4
|
5.6 MB
|
010 How LangSmith Solves the Challenges of the Beta Testing Phase (part 1)_en.srt
|
1.2 KB
|
011 How LangSmith Solves the Challenges of the Beta Testing Phase (part 2).mp4
|
95.4 MB
|
011 How LangSmith Solves the Challenges of the Beta Testing Phase (part 2)_en.srt
|
10.1 KB
|
012 How LangSmith Solves the Challenges of the Production Phase (part 1).mp4
|
8.6 MB
|
012 How LangSmith Solves the Challenges of the Production Phase (part 1)_en.srt
|
2.7 KB
|
013 How LangSmith Solves the Challenges of the Production Phase (part 2).mp4
|
40.7 MB
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013 How LangSmith Solves the Challenges of the Production Phase (part 2)_en.srt
|
5.0 KB
|
/36 - [NEW] LLMOps with LangSmith LangSmith in Depth/
|
001 B2-002ENG-LANGSMITH-IN-DEPTH.pdf
|
52.8 KB
|
001 LangSmith in Depth.mp4
|
7.5 MB
|
001 LangSmith in Depth_en.srt
|
2.2 KB
|
001 LCU-002.ipynb
|
22.9 KB
|
002 LangSmith Official Definition, Terminology and FAQs (part 1).mp4
|
8.9 MB
|
002 LangSmith Official Definition, Terminology and FAQs (part 1)_en.srt
|
3.4 KB
|
003 LangSmith Official Definition, Terminology and FAQs (part 2).mp4
|
182.1 MB
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003 LangSmith Official Definition, Terminology and FAQs (part 2)_en.srt
|
24.8 KB
|
004 LangSmith Initial Operations (part 1).mp4
|
3.5 MB
|
004 LangSmith Initial Operations (part 1)_en.srt
|
0.9 KB
|
005 LangSmith Initial Operations (part 2).mp4
|
76.7 MB
|
005 LangSmith Initial Operations (part 2)_en.srt
|
10.4 KB
|
006 LangSmith solutions for the Prototyping Phase (part 1).mp4
|
8.6 MB
|
006 LangSmith solutions for the Prototyping Phase (part 1)_en.srt
|
2.7 KB
|
007 LangSmith solutions for the Prototyping Phase (part 2).mp4
|
100.5 MB
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007 LangSmith solutions for the Prototyping Phase (part 2)_en.srt
|
11.9 KB
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008 LangSmith Datasets Advanced Tips (part 1).mp4
|
4.8 MB
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008 LangSmith Datasets Advanced Tips (part 1)_en.srt
|
1.2 KB
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009 LangSmith Datasets Advanced Tips (part 2).mp4
|
53.5 MB
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009 LangSmith Datasets Advanced Tips (part 2)_en.srt
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6.7 KB
|
010 LangSmith solutions for the Beta Testing Phase (part 1).mp4
|
5.6 MB
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010 LangSmith solutions for the Beta Testing Phase (part 1)_en.srt
|
1.3 KB
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011 LangSmith solutions for the Beta Testing Phase (part 2).mp4
|
86.6 MB
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011 LangSmith solutions for the Beta Testing Phase (part 2)_en.srt
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9.7 KB
|
012 LangSmith solutions for the Production Phase (part 1).mp4
|
5.2 MB
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012 LangSmith solutions for the Production Phase (part 1)_en.srt
|
1.4 KB
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013 LangSmith solutions for the Production Phase (part 2).mp4
|
64.9 MB
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013 LangSmith solutions for the Production Phase (part 2)_en.srt
|
6.7 KB
|
014 LangSmith Advanced Tips (part 1).mp4
|
4.7 MB
|
014 LangSmith Advanced Tips (part 1)_en.srt
|
1.1 KB
|
015 LangSmith Advanced Tips (part 2).mp4
|
34.1 MB
|
015 LangSmith Advanced Tips (part 2)_en.srt
|
4.2 KB
|
016 LangSmith How-To Guides, Use Case Guides, and Recommendations (part 1).mp4
|
3.7 MB
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016 LangSmith How-To Guides, Use Case Guides, and Recommendations (part 1)_en.srt
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1.2 KB
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017 LangSmith How-To Guides, Use Case Guides, and Recommendations (part 2).mp4
|
43.8 MB
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017 LangSmith How-To Guides, Use Case Guides, and Recommendations (part 2)_en.srt
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4.8 KB
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018 LangSmith Next Features Detailed View (part 1).mp4
|
3.6 MB
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018 LangSmith Next Features Detailed View (part 1)_en.srt
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1.1 KB
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019 LangSmith Next Features Detailed View (part 2).mp4
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28.4 MB
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019 LangSmith Next Features Detailed View (part 2)_en.srt
|
3.4 KB
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/37 - [NEW] LangSmith Versions/
|
001 LangSmith Versions.mp4
|
14.4 MB
|
001 LangSmith Versions_en.srt
|
4.0 KB
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/38 - [NEW] LangSmith At Work From Basic Example to Professional Project/
|
001 LangSmith At Work From Basic Example to Professional Project (part 1).mp4
|
3.3 MB
|
001 LangSmith At Work From Basic Example to Professional Project (part 1)_en.srt
|
1.0 KB
|
001 LCU-003.ipynb
|
1.6 KB
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002 LangSmith At Work From Basic Example to Professional Project (part 2).mp4
|
21.3 MB
|
002 LangSmith At Work From Basic Example to Professional Project (part 2)_en.srt
|
2.3 KB
|
002 v1-902-LS-LCEL-basic-rag-app-qa-openai-gpt3.ipynb
|
14.0 KB
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003 LangSmith At Work From Basic Example to Professional Project (part 3).mp4
|
55.2 MB
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003 LangSmith At Work From Basic Example to Professional Project (part 3)_en.srt
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6.4 KB
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/39 - [NEW] Multimodal LLM Applications/
|
001 Multimodal LLM Applications.mp4
|
6.3 MB
|
001 Multimodal LLM Applications_en.srt
|
1.5 KB
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002 What are Multimodal LLM Applications.mp4
|
7.4 MB
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002 What are Multimodal LLM Applications_en.srt
|
1.9 KB
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003 What LLM Models will we use to create Multimodal LLM Apps.mp4
|
18.3 MB
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003 What LLM Models will we use to create Multimodal LLM Apps_en.srt
|
4.7 KB
|
004 GPT4-Vision How to Use It.mp4
|
9.9 MB
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004 GPT4-Vision How to Use It_en.srt
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2.3 KB
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005 GPT4-Vision Main Use Cases.mp4
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54.5 MB
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005 GPT4-Vision Main Use Cases_en.srt
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11.4 KB
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006 GPT4-Vision Limitations.mp4
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31.4 MB
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006 GPT4-Vision Limitations_en.srt
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6.6 KB
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007 If GPT4-V is so good, why do we need Multimodal LLM Apps for.mp4
|
14.2 MB
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007 If GPT4-V is so good, why do we need Multimodal LLM Apps for_en.srt
|
3.6 KB
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008 How to Build Multimodal LLM Apps Alternative Ways.mp4
|
13.4 MB
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008 How to Build Multimodal LLM Apps Alternative Ways_en.srt
|
3.8 KB
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009 How to Build Multimodal LLM Apps with LangChain and GPT4-Vision (1).mp4
|
18.8 MB
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009 How to Build Multimodal LLM Apps with LangChain and GPT4-Vision (1)_en.srt
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4.0 KB
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010 How to Build Multimodal LLM Apps with LangChain and GPT4-Vision (2).mp4
|
275.2 MB
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010 How to Build Multimodal LLM Apps with LangChain and GPT4-Vision (2)_en.srt
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29.6 KB
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010 multimodalv2.ipynb
|
29.2 KB
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010 startupai-financial-report-v2.pdf
|
298.1 KB
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/40 - Top Information Channels for AI Engineers/
|
001 146BENG-TOP-INFORMATION-CHANNELS.pdf
|
48.0 KB
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001 Top Information Channels for AI Engineers.mp4
|
16.7 MB
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001 Top Information Channels for AI Engineers_en.srt
|
7.4 KB
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/41 - Congrats! Next steps/
|
001 147BENG-CONGRATS.pdf
|
340.3 KB
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001 Congrats! Next steps.mp4
|
35.2 MB
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001 Congrats! Next steps_en.srt
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9.5 KB
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Total files 782
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