WebToolTip com Udemy LLM Concepts Deep Dive Conceptual Mastery for Developers

WebToolTip com Udemy LLM Concepts Deep Dive Conceptual Mastery for Developers

Name	[ WebToolTip.com ] Udemy - LLM Concepts Deep Dive - Conceptual Mastery for Developers	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.9 GB
Total Files	38
Last Seen	2025-07-18 00:18
Hash	464EFD664C59DF26987C248B6A050C7425876A12

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Get Bonus Downloads Here.url	0.2 KB
/.../1 - Language Modeling And Training/
1 -Understanding the Concept of Model.mp4	119.7 MB
2 -Language Model Tasks and Auto Encoding.mp4	82.8 MB
3 -Auto Regression and Text Prediction.mp4	127.5 MB
4 -Text completion.mp4	82.2 MB
5 -Audience Questions.mp4	133.3 MB
/2 - Training Methodologies/
1 -Pre-training.mp4	151.6 MB
2 -Instruct tuning.mp4	164.5 MB
3 -Fine Tuning.mp4	92.4 MB
4 -Audience Questions.mp4	75.8 MB
5 -Introduction to Fine-Tuning AI Models.mp4	40.8 MB
/.../3 - Tokens and Embeddings/
1 -Introduction to Tokens and Embeddings.mp4	75.0 MB
10 -Audience Questions.mp4	30.7 MB
2 -Tokenization Explained.mp4	140.0 MB
3 -Visualizing Tokenization.mp4	27.9 MB
4 -How token boundaries are formed.mp4	231.0 MB
5 -How word frequencies are identified.mp4	118.4 MB
6 -Embeddings and Their Importance.mp4	330.2 MB
7 -Exploring Embeddings and the N-dimensional space.mp4	122.3 MB
8 -Embedding Math. Mind-Blowing Examples.mp4	60.8 MB
9 -Tokenization and Embeddings.mp4	80.2 MB
/.../4 - Knowledge Assessment and Semantic Similarity/
1 -Quiz Time Test Your Knowledge.mp4	130.7 MB
2 -The Concept of Text Similarity.mp4	111.3 MB
3 -Audience Questions.mp4	74.6 MB
/5 - Transformer Architecture/
1 -From Tokens To Text.mp4	158.4 MB
2 -Introduction to Transformer Architecture.mp4	115.0 MB
3 -Understanding Attention in LLMs.mp4	144.5 MB
4 -Addressing Questions on Transformer Architecture.mp4	106.1 MB
/6 - Context Management/
1 -Introduction to Context Length in LLMs.mp4	74.3 MB
2 -Challenges with Context Limit and Statelessness.mp4	139.4 MB
/.../7 - RAG and Vector Databases/
1 -Introducing Retrieval Augmented Generation (RAG).mp4	130.0 MB
2 -Some important terminologies.mp4	71.4 MB
3 -Vector Databases and Their Role in RAG.mp4	92.9 MB
4 -How Vector Databases Work.mp4	75.2 MB
5 -Vector Database Interaction Pseudocode.mp4	34.1 MB
6 -The RAG Pipeline.mp4	43.1 MB
7 -Q&A and Final Thoughts.mp4	65.6 MB
/~Get Your Files Here !/
Bonus Resources.txt	0.1 KB
Total files 38