FreeCourseSite com Udemy Complete Generative AI Course With Langchain and Huggingface

FreeCourseSite com Udemy Complete Generative AI Course With Langchain and Huggingface

Name	[FreeCourseSite.com] Udemy - Complete Generative AI Course With Langchain and Huggingface	DOWNLOAD Copy Link
Total Size	33.7 GB
Total Files	483
Last Seen	2025-02-20 02:16
Hash	63E61B6BADA5CD074418F607000BDC9C93F1DA9F

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
/01 - Introduction/
001 Introduction-What We will Learn In This Course.mp4	184.0 MB
001 Introduction-What We will Learn In This Course_en.srt	22.9 KB
002 Course Materials.html	0.2 KB
003 Getting Started With VS Code.mp4	148.8 MB
003 Getting Started With VS Code_en.srt	19.2 KB
004 Different Ways Of creating Python Environment.mp4	27.1 MB
004 Different Ways Of creating Python Environment_en.srt	14.0 KB
005 Solve-Conda Not Recognized Issue.html	0.3 KB
006 Python Basics-Syntax And Semantics.mp4	143.5 MB
006 Python Basics-Syntax And Semantics_en.srt	34.2 KB
007 Variables In Python.mp4	92.4 MB
007 Variables In Python_en.srt	35.0 KB
008 Basics DataTypes In Python.mp4	27.1 MB
008 Basics DataTypes In Python_en.srt	17.8 KB
009 Operators In Python.mp4	173.7 MB
009 Operators In Python_en.srt	28.0 KB
/02 - Python Control Flow/
001 Conditional Statements (if, elif, else).mp4	326.4 MB
001 Conditional Statements (if, elif, else)_en.srt	34.7 KB
002 Loops In Python.mp4	321.2 MB
002 Loops In Python_en.srt	50.9 KB
/03 - Data Structures Using Python/
001 Lists and List Comprehension In Python.mp4	207.7 MB
001 Lists and List Comprehension In Python_en.srt	63.9 KB
002 Tuples In Python.mp4	82.4 MB
002 Tuples In Python_en.srt	40.1 KB
003 Dictionaries In Python.mp4	98.4 MB
003 Dictionaries In Python_en.srt	61.6 KB
004 Real World Use cases Of List.mp4	39.6 MB
004 Real World Use cases Of List_en.srt	17.7 KB
/04 - Functions In Python/
001 Getting Started With Functions.mp4	87.6 MB
001 Getting Started With Functions_en.srt	41.4 KB
002 More Coding Examples With Functions.mp4	198.6 MB
002 More Coding Examples With Functions_en.srt	49.5 KB
003 Lambda Function In Python.mp4	60.8 MB
003 Lambda Function In Python_en.srt	18.0 KB
004 Map Function In Python.mp4	60.3 MB
004 Map Function In Python_en.srt	19.6 KB
005 Filter Functions In Python.mp4	50.9 MB
005 Filter Functions In Python_en.srt	15.7 KB
/05 - Importing, Creating Modules And Packages/
001 Import Modules And Packages In Python.mp4	55.5 MB
001 Import Modules And Packages In Python_en.srt	31.3 KB
002 Standard Libraries Overview In Python.mp4	146.6 MB
002 Standard Libraries Overview In Python_en.srt	31.1 KB
/06 - File Handling In Python/
001 File Operations With Python.mp4	137.4 MB
001 File Operations With Python_en.srt	30.5 KB
002 Working with File Paths.mp4	52.6 MB
002 Working with File Paths_en.srt	13.7 KB
/07 - Exception Handling/
001 Exceptiion Handling With try except else and finally blocks.mp4	98.8 MB
001 Exceptiion Handling With try except else and finally blocks_en.srt	46.0 KB
/08 - OOPS Classes And Objects/
001 Classes And Objects In Python.mp4	87.7 MB
001 Classes And Objects In Python_en.srt	40.3 KB
002 Single And Multiple Inheritance.mp4	114.8 MB
002 Single And Multiple Inheritance_en.srt	33.4 KB
003 Polymorphism In OOPS.mp4	113.1 MB
003 Polymorphism In OOPS_en.srt	31.7 KB
004 Encapulation In OOPS.mp4	134.0 MB
004 Encapulation In OOPS_en.srt	39.8 KB
005 Abstraction In OOPS.mp4	51.9 MB
005 Abstraction In OOPS_en.srt	15.5 KB
006 Magic Methods In Python.mp4	48.9 MB
006 Magic Methods In Python_en.srt	14.1 KB
007 Operator Overloading In Python.mp4	54.3 MB
007 Operator Overloading In Python_en.srt	14.9 KB
/09 - Streamlit With Python/
001 Getting Started With Streamlit.mp4	100.0 MB
001 Getting Started With Streamlit_en.srt	29.0 KB
002 Example Of ML APP With Streamlit.mp4	55.8 MB
002 Example Of ML APP With Streamlit_en.srt	13.7 KB
/10 - Machine Learning For NLP (Prerequisites)/
001 Roadmap To Learn NLP.mp4	332.6 MB
001 Roadmap To Learn NLP_en.srt	25.3 KB
001 finalNLP.pdf	7.2 MB
002 Practical Usecases Of NLP.mp4	99.8 MB
002 Practical Usecases Of NLP_en.srt	10.1 KB
003 Tokenization and Basic Terminologies.mp4	198.6 MB
003 Tokenization and Basic Terminologies_en.srt	14.7 KB
004 4-Tokenization-Example-Using-NLTK.ipynb	7.5 KB
004 Tokenization Practicals.mp4	244.5 MB
004 Tokenization Practicals_en.srt	24.4 KB
005 5-Stemming-And-Its-Types-Text-Preprocessing.ipynb	7.4 KB
005 Text Preprocessing Stemming Uing NLTK.mp4	328.1 MB
005 Text Preprocessing Stemming Uing NLTK_en.srt	34.3 KB
006 6-Lemmatization-Text-Preprocessing.ipynb	3.7 KB
006 Text Preprocessing Lemmatization.mp4	163.8 MB
006 Text Preprocessing Lemmatization_en.srt	18.3 KB
007 7-Text-Preprocessing-Stopwords-With-NLTK.ipynb	35.8 KB
007 Text Preprocessing Stopwords.mp4	343.6 MB
007 Text Preprocessing Stopwords_en.srt	36.6 KB
008 8-Parts-Of-Speech-Tagging.ipynb	14.7 KB
008 Parts Of Speech Tagging Using NLTK.mp4	199.1 MB
008 Parts Of Speech Tagging Using NLTK_en.srt	20.8 KB
009 9-Named-Entity-Recognition.ipynb	3.7 KB
009 Named Entity Recognition.mp4	109.2 MB
009 Named Entity Recognition_en.srt	11.6 KB
010 Whats Next.mp4	218.7 MB
010 Whats Next_en.srt	20.1 KB
011 One Hot Encoding.mp4	163.6 MB
011 One Hot Encoding_en.srt	13.6 KB
012 Advantages and Disadvantages of OHE.mp4	223.3 MB
012 Advantages and Disadvantages of OHE_en.srt	19.8 KB
013 Bag Of Words Intuition.mp4	194.0 MB
013 Bag Of Words Intuition_en.srt	17.8 KB
014 Advantages and Disadvantages Of BOW.mp4	183.2 MB
014 Advantages and Disadvantages Of BOW_en.srt	17.4 KB
015 15-Bag-Of-Words-Practicals.ipynb	103.7 KB
015 BOW Implementation Using NLTK.mp4	378.6 MB
015 BOW Implementation Using NLTK_en.srt	35.6 KB
016 N Grams.mp4	42.2 MB
016 N Grams_en.srt	12.8 KB
017 15-Bag-Of-Words-Practicals.ipynb	103.7 KB
017 N gram Implementation USing NLTK.mp4	120.3 MB
017 N gram Implementation USing NLTK_en.srt	13.2 KB
018 TF-IDF Intuition.mp4	196.3 MB
018 TF-IDF Intuition_en.srt	17.7 KB
019 Advantages and Disadvanatges OF TFidf.mp4	98.5 MB
019 Advantages and Disadvanatges OF TFidf_en.srt	9.3 KB
020 16-TF-IDF-Practical.ipynb	104.3 KB
020 TFIDF Practical Implementation.mp4	116.6 MB
020 TFIDF Practical Implementation_en.srt	12.3 KB
021 Word Embeddings.mp4	134.3 MB
021 Word Embeddings_en.srt	11.3 KB
022 Word2vec Intuition.mp4	347.7 MB
022 Word2vec Intuition_en.srt	31.6 KB
023 Word2vec CBOW Detailed Explanation.mp4	396.9 MB
023 Word2vec CBOW Detailed Explanation_en.srt	35.0 KB
024 SkipGram Indepth Intuition.mp4	188.9 MB
024 SkipGram Indepth Intuition_en.srt	15.4 KB
025 Advantages OF Word2vec.mp4	87.2 MB
025 Advantages OF Word2vec_en.srt	7.7 KB
026 26-Word2vec-Practical-Implementation.ipynb	30.6 KB
026 Word2vec Practical Implementation.mp4	126.9 MB
026 Word2vec Practical Implementation_en.srt	13.7 KB
/11 - Deep Learning For NLP(Prerequisites)/
001 Introduction To NLP In Deep Learning.mp4	363.0 MB
001 Introduction To NLP In Deep Learning_en.srt	26.3 KB
002 1-2-Simple-RNN.pdf	3.5 MB
002 ANN VS RNN.mp4	210.0 MB
002 ANN VS RNN_en.srt	35.5 KB
/12 - Simple RNN Indepth Intuition/
001 1-2-Simple-RNN.pdf	3.5 MB
001 RNN Forward Propogation With Time.mp4	198.6 MB
001 RNN Forward Propogation With Time_en.srt	33.9 KB
002 3-4-backwardpropogation.pdf	2.2 MB
002 Simple RNN Backward Propogation.mp4	165.2 MB
002 Simple RNN Backward Propogation_en.srt	48.8 KB
003 5-Problems-With-RNN.pdf	2.1 MB
003 Problems With RNN.mp4	350.7 MB
003 Problems With RNN_en.srt	44.5 KB
/13 - ANN Project Implementation/
001 Discussing Classification Problem Statement And Setting Up Vs Code.mp4	148.4 MB
001 Discussing Classification Problem Statement And Setting Up Vs Code_en.srt	21.2 KB
001 annclassification.zip	327.2 KB
002 Feature Transformation Using Sklearn With ANN.mp4	190.2 MB
002 Feature Transformation Using Sklearn With ANN_en.srt	38.0 KB
003 Step By Step Training With ANN With Optimizer and Loss Functions.mp4	381.1 MB
003 Step By Step Training With ANN With Optimizer and Loss Functions_en.srt	64.7 KB
004 Prediction With Trained ANN Model.mp4	140.1 MB
004 Prediction With Trained ANN Model_en.srt	24.6 KB
005 Integrating ANN Model With Streamlit Web APP.mp4	80.9 MB
005 Integrating ANN Model With Streamlit Web APP_en.srt	14.3 KB
006 Deploying Streamlit web app with ANN Model.mp4	28.3 MB
006 Deploying Streamlit web app with ANN Model_en.srt	8.4 KB
007 ANN Regression Practical Implementation.mp4	172.8 MB
007 ANN Regression Practical Implementation_en.srt	29.1 KB
008 Finding Optimal Hidden Layers And Hidden Neurons In ANN.mp4	163.3 MB
008 Finding Optimal Hidden Layers And Hidden Neurons In ANN_en.srt	27.8 KB
/14 - End To End Deep Learning Projects With Simple RNN/
001 Problem Statement.mp4	84.0 MB
001 Problem Statement_en.srt	11.2 KB
001 simple-rnn-imdb.zip	14.9 MB
002 Getting Started With Embedding Layers.mp4	121.6 MB
002 Getting Started With Embedding Layers_en.srt	23.9 KB
003 Implementing Word Embedding With Keras Tensorflow.mp4	119.8 MB
003 Implementing Word Embedding With Keras Tensorflow_en.srt	30.2 KB
004 Loading And Understanding IMDB Datatset And Feature Engineering.mp4	86.8 MB
004 Loading And Understanding IMDB Datatset And Feature Engineering_en.srt	23.8 KB
005 Training Simple RNN With Embedding Layers.mp4	47.7 MB
005 Training Simple RNN With Embedding Layers_en.srt	11.3 KB
006 Prediction From Trained Simple RNN.mp4	50.1 MB
006 Prediction From Trained Simple RNN_en.srt	12.9 KB
007 End To End Streamlit Web App Integrated With RNN And Deployment.mp4	24.3 MB
007 End To End Streamlit Web App Integrated With RNN And Deployment_en.srt	14.6 KB
/15 - LSTM RNN Indepth Intuition/
001 Complete-LSTM-RNN.pdf	5.6 MB
001 Why LSTM RNN.mp4	199.4 MB
001 Why LSTM RNN_en.srt	31.7 KB
002 LSTM RNN Architecture.mp4	118.2 MB
002 LSTM RNN Architecture_en.srt	19.2 KB
003 Forget Gate In LSTM RNN.mp4	179.3 MB
003 Forget Gate In LSTM RNN_en.srt	24.5 KB
004 Input Gate And Candidate Memory In LSTM RNN.mp4	119.9 MB
004 Input Gate And Candidate Memory In LSTM RNN_en.srt	19.0 KB
005 Output Gate In LSTM RNN.mp4	110.7 MB
005 Output Gate In LSTM RNN_en.srt	13.8 KB
006 Training Process In LSTM RNN.mp4	177.3 MB
006 Training Process In LSTM RNN_en.srt	26.7 KB
007 Variants Of LSTM RNN.mp4	108.0 MB
007 Variants Of LSTM RNN_en.srt	19.9 KB
008 GRU RNN Indepth Intuition.mp4	144.7 MB
008 GRU RNN Indepth Intuition_en.srt	41.2 KB
/16 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/
001 Discussing Problem Statement.mp4	36.5 MB
001 Discussing Problem Statement_en.srt	8.3 KB
001 LSTM-RNN.zip	26.7 MB
002 Data Collection And Preprocessing.mp4	147.2 MB
002 Data Collection And Preprocessing_en.srt	27.2 KB
003 LSTM Neural Network Model Training.mp4	59.5 MB
003 LSTM Neural Network Model Training_en.srt	15.4 KB
004 Prediction From LSTM Model.mp4	49.4 MB
004 Prediction From LSTM Model_en.srt	11.9 KB
005 Streamlit Webapp Integration With LSTM Trained Model.mp4	56.0 MB
005 Streamlit Webapp Integration With LSTM Trained Model_en.srt	9.6 KB
006 GRU RNN Variant Impelmentation.mp4	15.9 MB
006 GRU RNN Variant Impelmentation_en.srt	3.6 KB
/17 - Bidirerctional RNN Indepth Intuition/
001 Bidirection-RNN.pdf	1.5 MB
001 Bidirectional RNN- Why To Use It.mp4	232.4 MB
001 Bidirectional RNN- Why To Use It_en.srt	35.9 KB
/18 - Encoder And DecoderSequence To Sequence Architecture/
001 EncoderDecoderSeq2SEq.pdf	2.9 MB
001 Indepth Intuition OF Encoder And Decoder-Sequence to Sequence Architecture.mp4	416.3 MB
001 Indepth Intuition OF Encoder And Decoder-Sequence to Sequence Architecture_en.srt	49.6 KB
002 Problems With Encoder and Decoder.mp4	126.0 MB
002 Problems With Encoder and Decoder_en.srt	16.4 KB
/19 - Attention Mechanism-Seq2Seq Networks/
001 Attention Mechanism Indepth Architecture Explanation.mp4	374.4 MB
001 Attention Mechanism Indepth Architecture Explanation_en.srt	49.6 KB
001 Attention-Mechanism.pdf	4.0 MB
/20 - Transformers/
001 Plan Of Action.mp4	38.3 MB
001 Plan Of Action_en.srt	7.6 KB
001 Transformers-Illustrated.url	0.1 KB
001 best-final-transformers.pdf	26.6 MB
002 What and Why To Use Transformers.mp4	241.4 MB
002 What and Why To Use Transformers_en.srt	28.6 KB
003 Understanding The basic Architecture Of Encoder.mp4	204.4 MB
003 Understanding The basic Architecture Of Encoder_en.srt	23.3 KB
004 Self Attention Layer Working.mp4	773.8 MB
004 Self Attention Layer Working_en.srt	90.9 KB
005 Multi Head Attention.mp4	131.9 MB
005 Multi Head Attention_en.srt	16.4 KB
006 Feed Forward Neural Network With Multi Head Attention.mp4	113.9 MB
006 Feed Forward Neural Network With Multi Head Attention_en.srt	15.2 KB
007 Positional Encoding Indepth Intuition.mp4	368.3 MB
007 Positional Encoding Indepth Intuition_en.srt	44.5 KB
008 Layer Normalization.mp4	429.5 MB
008 Layer Normalization_en.srt	52.7 KB
009 Layer Normalization Examples.mp4	77.2 MB
009 Layer Normalization Examples_en.srt	10.5 KB
010 Complete Encoder Transformer Architecture.mp4	267.4 MB
010 Complete Encoder Transformer Architecture_en.srt	36.0 KB
011 Decoder-Plan Of Action.mp4	87.3 MB
011 Decoder-Plan Of Action_en.srt	11.6 KB
012 Decoder-Masked Multi Head Attention.mp4	223.2 MB
012 Decoder-Masked Multi Head Attention_en.srt	80.3 KB
013 Encoder and Decoder Multi Head Attention.mp4	58.1 MB
013 Encoder and Decoder Multi Head Attention_en.srt	24.8 KB
014 Decoder Final Linear And Softmax Layer.mp4	162.8 MB
014 Decoder Final Linear And Softmax Layer_en.srt	21.5 KB
external-links.txt	0.1 KB
/21 - Introduction To Generative AI And LLM Models/
001 What is Generative AI- AI Vs ML Vs DL Vs Generative AI.mp4	263.9 MB
001 What is Generative AI- AI Vs ML Vs DL Vs Generative AI_en.srt	24.7 KB
002 How Open AI ChatGPt or LLama3 LLM Models are Trained.mp4	84.1 MB
002 How Open AI ChatGPt or LLama3 LLM Models are Trained_en.srt	30.3 KB
002 what-we-will-learn.pdf	1.4 MB
003 Evolution OF LLM Models.mp4	39.2 MB
003 Evolution OF LLM Models_en.srt	7.1 KB
003 evolution-of-llm.pdf	1.1 MB
004 All LLM Models Analysis.mp4	52.9 MB
004 All LLM Models Analysis_en.srt	8.2 KB
004 Independent-analysis-of-AI-language-models-and-API-providers.url	0.1 KB
external-links.txt	0.1 KB
/22 - Introduction To Langchain For Generative AI/
001 1-Langchain-Ecosystem.pdf	656.3 KB
001 Complete Langchain Ecosystem.mp4	108.1 MB
001 Complete Langchain Ecosystem_en.srt	17.7 KB
002 Creating Virtual Environment.mp4	70.0 MB
002 Creating Virtual Environment_en.srt	13.1 KB
/23 - Getting Started With Langchain And OpenAI/
001 Getting Started With Langchain And OpenAI.mp4	125.7 MB
001 Getting Started With Langchain And OpenAI_en.srt	22.7 KB
/24 - Important Components And Modules In Langchain/
001 1-Basics-Of-Langchain.zip	2.9 MB
001 Introduction To Basic Components And Modules In Langchain.mp4	140.7 MB
001 Introduction To Basic Components And Modules In Langchain_en.srt	21.8 KB
002 Data Ingestion With Documents Loaders.mp4	280.5 MB
002 Data Ingestion With Documents Loaders_en.srt	38.8 KB
003 Text Splitting Techniques-Recursive Character Text Splitter.mp4	135.0 MB
003 Text Splitting Techniques-Recursive Character Text Splitter_en.srt	22.5 KB
004 Text Splitting Technique-Character Text splitter.mp4	66.6 MB
004 Text Splitting Technique-Character Text splitter_en.srt	7.5 KB
005 Text Splitting Technique-HTML Header Text Splitter.mp4	79.3 MB
005 Text Splitting Technique-HTML Header Text Splitter_en.srt	11.7 KB
006 Text Splitting Technique-Recursive Json Splitter.mp4	83.1 MB
006 Text Splitting Technique-Recursive Json Splitter_en.srt	11.2 KB
007 Introduction To OpenAI Embedding.mp4	305.2 MB
007 Introduction To OpenAI Embedding_en.srt	37.6 KB
008 Ollama Embeddings.mp4	117.1 MB
008 Ollama Embeddings_en.srt	28.0 KB
009 Huggingface Embeddings.mp4	113.3 MB
009 Huggingface Embeddings_en.srt	17.5 KB
010 VectorStores-FAISS.mp4	173.2 MB
010 VectorStores-FAISS_en.srt	27.2 KB
011 VectorStore And Retriever- ChromaDB.mp4	99.7 MB
011 VectorStore And Retriever- ChromaDB_en.srt	15.8 KB
012 Going Forward.mp4	8.3 MB
012 Going Forward_en.srt	2.7 KB
/25 - Getting Started With Open AI And Ollama/
001 1.1-openai.zip	19.5 KB
001 Building Important Components Of Langchain.mp4	141.7 MB
001 Building Important Components Of Langchain_en.srt	40.6 KB
002 Building GENAI Apps.mp4	192.7 MB
002 Building GENAI Apps_en.srt	31.4 KB
003 Understanding Retrievers and Chains.mp4	92.4 MB
003 Understanding Retrievers and Chains_en.srt	36.9 KB
004 Introduction To Ollama And Set Up.mp4	104.3 MB
004 Introduction To Ollama And Set Up_en.srt	14.2 KB
005 Simple Gen AI App Using Ollama.mp4	37.2 MB
005 Simple Gen AI App Using Ollama_en.srt	23.4 KB
006 Tracking Gen AI App Using Langsmith.mp4	27.8 MB
006 Tracking Gen AI App Using Langsmith_en.srt	6.0 KB
/26 - Building Basic LLM application Using LCEL(LangChain Expression Language)/
001 Getting Started With Open source Models Using Groq API.mp4	159.4 MB
001 Getting Started With Open source Models Using Groq API_en.srt	29.2 KB
001 LCEL.zip	5.3 KB
002 Building LLM,Prompt And Stroutput Chains With LCEL.mp4	117.2 MB
002 Building LLM,Prompt And Stroutput Chains With LCEL_en.srt	25.0 KB
003 Deploy Langserve Runnable And Chain As API.mp4	183.5 MB
003 Deploy Langserve Runnable And Chain As API_en.srt	30.7 KB
/27 - Building Chatbots With Conversation History Using Langchain/
001 1-chatbots.ipynb	28.3 KB
001 Building Chatbot With Message History Using Langchain.mp4	238.8 MB
001 Building Chatbot With Message History Using Langchain_en.srt	40.5 KB
002 Working With Prompt Termplate And Message Chat History Using Langchain.mp4	115.0 MB
002 Working With Prompt Termplate And Message Chat History Using Langchain_en.srt	23.3 KB
003 Managing the Chat Conversation History Using Langchain.mp4	129.3 MB
003 Managing the Chat Conversation History Using Langchain_en.srt	22.0 KB
004 Working With VectorStore And Retriever.mp4	263.6 MB
004 Working With VectorStore And Retriever_en.srt	46.8 KB
004 vectorretriever.ipynb	44.6 KB
/28 - Conversational Q&A Chatbot With Message History/
001 Building Conversational Q&A Chatbot With Message History.mp4	287.8 MB
001 Building Conversational Q&A Chatbot With Message History_en.srt	50.2 KB
001 conversationqa.ipynb	69.0 KB
/29 - End To End Q&A Chatbot GEN AI App With/
001 2-OpenAI-Chatbot.zip	1.9 KB
001 Introduction To The Q&A Chatbot.mp4	45.1 MB
001 Introduction To The Q&A Chatbot_en.srt	8.4 KB
002 Creating Virtual Environment.mp4	28.5 MB
002 Creating Virtual Environment_en.srt	14.7 KB
003 Creating Prompt Template And Integrating Open AI API.mp4	51.1 MB
003 Creating Prompt Template And Integrating Open AI API_en.srt	15.9 KB
004 Creating Streamlit Web App and Integrating Response With OpenAI API.mp4	60.3 MB
004 Creating Streamlit Web App and Integrating Response With OpenAI API_en.srt	14.0 KB
005 Q&A Chatbot With Ollama And Open Source Models.mp4	119.9 MB
005 Q&A Chatbot With Ollama And Open Source Models_en.srt	21.9 KB
/30 - RAG Document Q&A With GROQ API And LLama3/
001 4-RAG-Document-Q-A.zip	2.4 MB
001 Introduction To Groq Cloud And LPU Inference Engine.mp4	47.9 MB
001 Introduction To Groq Cloud And LPU Inference Engine_en.srt	12.3 KB
002 RAG Document Q&A With GROQ API And LLama3.mp4	163.5 MB
002 RAG Document Q&A With GROQ API And LLama3_en.srt	38.8 KB
/31 - Conversational Q&A Chatbot- Chat With Pdf Along With Chat History/
001 4.1-RAG-Q-A-Conversation.zip	1.1 MB
001 Demo of the Conversational Q&A Chatbot.mp4	42.6 MB
001 Demo of the Conversational Q&A Chatbot_en.srt	9.7 KB
002 End To End Conversational Q&A Chatbot Implementation.mp4	319.3 MB
002 End To End Conversational Q&A Chatbot Implementation_en.srt	50.1 KB
/32 - Search Engine With Langchain Tools And Agents/
001 5-Search-Engine.zip	7.5 KB
001 Introduction To Tools And Agents.mp4	66.0 MB
001 Introduction To Tools And Agents_en.srt	14.1 KB
002 Creating Tools Using Langchain.mp4	129.6 MB
002 Creating Tools Using Langchain_en.srt	22.5 KB
003 Executing Tools And LLM with Agent Executors.mp4	135.7 MB
003 Executing Tools And LLM with Agent Executors_en.srt	20.7 KB
004 End To End Search Engine GEN AI App using Tools And Agent With Open Source LLM.mp4	283.3 MB
004 End To End Search Engine GEN AI App using Tools And Agent With Open Source LLM_en.srt	43.9 KB
/33 - Gen AI Project-Chat With SQL DB With Langchain SQL Toolkit and Agentype/
001 6-Chat-SQL.zip	2.7 KB
001 Demo of the Project.mp4	49.5 MB
001 Demo of the Project_en.srt	9.0 KB
002 Preparing the Data For SQlite3 Database.mp4	33.4 MB
002 Preparing the Data For SQlite3 Database_en.srt	13.1 KB
003 Preparing The Data For My SQL Database.mp4	23.6 MB
003 Preparing The Data For My SQL Database_en.srt	5.2 KB
004 Creating the Streamlit Web app and Configuring the Databases.mp4	208.0 MB
004 Creating the Streamlit Web app and Configuring the Databases_en.srt	34.2 KB
005 Integrating Web App With Langchain SQL Toolkit And Agenttype.mp4	93.5 MB
005 Integrating Web App With Langchain SQL Toolkit And Agenttype_en.srt	21.8 KB
/34 - Text Summarization With Langchain/
001 7-Text-Summarization.zip	183.7 KB
001 Introduction To text summarization With Langchain.mp4	113.1 MB
001 Introduction To text summarization With Langchain_en.srt	31.1 KB
002 Stuff Chain And Map Reduce Text Summarization Indepth Intuition.mp4	127.4 MB
002 Stuff Chain And Map Reduce Text Summarization Indepth Intuition_en.srt	19.4 KB
003 Stuff And Map Reduce Summarization Impelmentation.mp4	209.5 MB
003 Stuff And Map Reduce Summarization Impelmentation_en.srt	32.3 KB
004 Refine Chain Summarization Intuition And Implementation.mp4	53.2 MB
004 Refine Chain Summarization Intuition And Implementation_en.srt	7.6 KB
/35 - Gen AI Projects- Youtube Video And Website Url Content Summarization/
001 7-Text-Summarization.zip	183.7 KB
001 End To End Project Demo.mp4	24.8 MB
001 End To End Project Demo_en.srt	6.7 KB
002 Implementing Youtube Video And Website Url Content Summarization GEN AI App.mp4	225.0 MB
002 Implementing Youtube Video And Website Url Content Summarization GEN AI App_en.srt	34.5 KB
/36 - Text To Math Problem Solver Using Google Gemma 2/
001 8-MathsGPT.zip	2.0 KB
001 Demo of the End to End Project.mp4	17.6 MB
001 Demo of the End to End Project_en.srt	5.7 KB
002 End To End Text to Math Problem Solver Using Google Gemma2 Model Implementation.mp4	289.2 MB
002 End To End Text to Math Problem Solver Using Google Gemma2 Model Implementation_en.srt	46.7 KB
/37 - Huggingface And Langchain Integration/
001 Introduction To Huggingface And Langchain Integration.mp4	48.0 MB
001 Introduction To Huggingface And Langchain Integration_en.srt	11.0 KB
002 9-Huggingfacewith-Langchain.zip	14.2 KB
002 Langchain And Huggingface Integration Practical Implementation.mp4	85.7 MB
002 Langchain And Huggingface Integration Practical Implementation_en.srt	34.3 KB
003 End to End Gen AI Project With Langchain And Huggingface.mp4	85.5 MB
003 End to End Gen AI Project With Langchain And Huggingface_en.srt	12.1 KB
/38 - Pdf Query RAG With Langchain And AstraDB/
001 End To End Project With PDf Query RAG With Langchain And AstraDB.mp4	463.8 MB
001 End To End Project With PDf Query RAG With Langchain And AstraDB_en.srt	41.7 KB
001 PDFQuery-LangChain.ipynb	153.0 KB
/39 - MultiLanguage Code Assistant Using CodeLama/
001 Codellama.zip	0.9 KB
001 End To End MultiLanguage Code Assistant Implementation.mp4	432.2 MB
001 End To End MultiLanguage Code Assistant Implementation_en.srt	35.0 KB
/40 - Deployment Of Gen AI Apps In Streamlit and Huggingspace/
001 Deployment OF Gen AI APP In Streamlit Cloud.mp4	130.8 MB
001 Deployment OF Gen AI APP In Streamlit Cloud_en.srt	20.5 KB
001 Search-Engine-LLM.url	0.1 KB
002 Deployment Of Gen AI App In Huggingface spaces.mp4	188.0 MB
002 Deployment Of Gen AI App In Huggingface spaces_en.srt	28.8 KB
002 Repository-Link.url	0.1 KB
external-links.txt	0.1 KB
/41 - Generative AI With AWS(Bonus)/
001 Life Cycle Of Gen AI Project In AWS Cloud.mp4	116.8 MB
001 Life Cycle Of Gen AI Project In AWS Cloud_en.srt	16.6 KB
002 AWS-Bedrock-main.zip	18.2 KB
002 Introduction To AWS Bedrock With Implementation.mp4	546.4 MB
002 Introduction To AWS Bedrock With Implementation_en.srt	66.5 KB
003 AWS-Bedrock-main-1.zip	18.2 KB
003 Document Q&A RAG With Langchain And Bedrock.mp4	379.8 MB
003 Document Q&A RAG With Langchain And Bedrock_en.srt	62.9 KB
004 End To End Blog Generation Gen AI Using AWS Lambda And Bedrock.mp4	752.7 MB
004 End To End Blog Generation Gen AI Using AWS Lambda And Bedrock_en.srt	92.3 KB
004 Generative-AI-With-Cloud-main.zip	26.2 KB
005 Deployment Of Huggingface OpenSource LLM Models In AWS Sagemakers With Endpoints.mp4	333.5 MB
005 Deployment Of Huggingface OpenSource LLM Models In AWS Sagemakers With Endpoints_en.srt	40.3 KB
005 Generative-AI-With-Cloud-main.zip	26.2 KB
/42 - Getting Started With Nvidia NIM and Langchain/
001 Building RAG Document Q&A With Nvidia NIM And Langchain.mp4	394.7 MB
001 Building RAG Document Q&A With Nvidia NIM And Langchain_en.srt	46.7 KB
001 Nvidia-NIM-main.zip	4.2 MB
/43 - Creating Multi AI Agents Using CrewAI For Real World Usecases/
001 Crew-AI-Crash-course-main.zip	15.0 KB
001 Youtube Videos To Blog Page Using CrewAI Agents.mp4	135.0 MB
001 Youtube Videos To Blog Page Using CrewAI Agents_en.srt	56.9 KB
/44 - Hybrid Search RAG With Vector Database And Langchain/
001 Introduction To Hybrid Search.mp4	142.5 MB
001 Introduction To Hybrid Search_en.srt	20.1 KB
001 hybridsearch-final.pdf	1.6 MB
002 Reciprocal Rank Fusion In Hybrid Search.mp4	108.1 MB
002 Reciprocal Rank Fusion In Hybrid Search_en.srt	15.1 KB
003 9.1-Hybrid-Search.zip	2.9 KB
003 End To End Hybrid Search RAG With Pinecone db And Langchain.mp4	142.6 MB
003 End To End Hybrid Search RAG With Pinecone db And Langchain_en.srt	28.4 KB
/45 - Introduction To Graph Databases And Cypher Query Language With Langchain/
001 Final-Graphdb.pdf	2.2 MB
001 Introduction to Graph DB Wwith Langchain.mp4	11.7 MB
001 Introduction to Graph DB Wwith Langchain_en.srt	5.6 KB
002 Final-Graphdb.pdf	2.2 MB
002 What is Knowledge Graph.mp4	195.2 MB
002 What is Knowledge Graph_en.srt	28.2 KB
003 Creating Your Neo4j AuraDB Database Instance.mp4	28.2 MB
003 Creating Your Neo4j AuraDB Database Instance_en.srt	9.4 KB
004 RDBMS VS Graph Database.mp4	78.6 MB
004 RDBMS VS Graph Database_en.srt	14.2 KB
005 Neo4j Property Graph Data Model.mp4	51.9 MB
005 Neo4j Property Graph Data Model_en.srt	10.0 KB
006 Getting Started With Cypher Query Language.mp4	140.0 MB
006 Getting Started With Cypher Query Language_en.srt	45.6 KB
007 Intermediate To Advance Cypher Query Language.mp4	181.3 MB
007 Intermediate To Advance Cypher Query Language_en.srt	35.6 KB
007 neo4j-query-saved-cypher-2024-7-14-1.csv	1.5 KB
/46 - Practical Implementation With Graphdb With Langchain/
001 Getting Started-Creating Environment.mp4	29.1 MB
001 Getting Started-Creating Environment_en.srt	7.3 KB
001 graphdb.zip	9.4 KB
002 Inserting Data In Graph DB With Python And Langchain.mp4	165.7 MB
002 Inserting Data In Graph DB With Python And Langchain_en.srt	25.1 KB
003 Creating GraphQuery Chain With Langchain.mp4	75.3 MB
003 Creating GraphQuery Chain With Langchain_en.srt	14.2 KB
004 Prompting Statergies GraphDB With LLM.mp4	239.8 MB
004 Prompting Statergies GraphDB With LLM_en.srt	33.8 KB
/47 - Detailed Intuition and Implementation Of Finetuning LLM Models/
001 Quanbtization.pdf	2.1 MB
001 What Is Quantization Indepth Intuition.mp4	648.1 MB
001 What Is Quantization Indepth Intuition_en.srt	47.2 KB
002 LORA And QLORA Indepth Mathematical Intuition.mp4	342.5 MB
002 LORA And QLORA Indepth Mathematical Intuition_en.srt	34.2 KB
002 Quanbtization.pdf	2.1 MB
003 Gemma-Finetuning-notebook-1.ipynb	431.9 KB
003 Practrical Implementation fine Tuning Custom Data With Google Gemma Model.mp4	335.1 MB
003 Practrical Implementation fine Tuning Custom Data With Google Gemma Model_en.srt	35.1 KB
/48 - End To End finetuning LLM Models With Lamini Platform/
001 2-finetuning.zip	2.4 KB
001 End To End Finetuning LLM Models With Lamini AI Cloud.mp4	103.9 MB
001 End To End Finetuning LLM Models With Lamini AI Cloud_en.srt	26.5 KB
/49 - Building Stateful, Multi-Actor Applications Using LangGraph/
001 Introduction To Langgraph.mp4	56.0 MB
001 Introduction To Langgraph_en.srt	8.5 KB
002 1-Getting-Started-Langraph.ipynb	43.0 KB
002 Creating Chatbots Using Langgraph.mp4	408.7 MB
002 Creating Chatbots Using Langgraph_en.srt	62.7 KB
003 Creating Chatbots With External Tools Workflow With Langraph.mp4	219.9 MB
003 Creating Chatbots With External Tools Workflow With Langraph_en.srt	43.4 KB
003 Langgraph-Chatbot-With-Tools.ipynb	40.8 KB
004 3-Langraph-With-Astradb.ipynb	257.8 KB
004 End to End Multi AI RAG Chatbots Using Langgraph And AstraDB.mp4	592.9 MB
004 End to End Multi AI RAG Chatbots Using Langgraph And AstraDB_en.srt	76.7 KB
Total files 483