1.37 GB | 00:25:11 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 1 Overview of RAG Concepts.mp4 (28.83 MB)
1 2 The Family Tree of Large Language Models (LLMs).mp4 (50.57 MB)
1 3 Key Components Retrievers and Generators.mp4 (80.97 MB)
2 1 Introduction to Semantic Search.mp4 (65.13 MB)
2 2 Implementing a Simple IndexerRetriever.mp4 (137.25 MB)
3 1 Crafting Effective Prompts.mp4 (53.18 MB)
3 2 Few-Shot Learning and Chain-of-Thought Prompting.mp4 (60.19 MB)
3 3 Designing RAG Prompts for Consistency.mp4 (109.02 MB)
4 1 Building a RAG Chatbot with GPT-4.mp4 (77.94 MB)
4 2 Testing Different LLMs for Retrieval and Generation.mp4 (124.45 MB)
5 1 Evaluating the Retriever Part 1.mp4 (54.24 MB)
5 2 Evaluating the Retriever Part 2.mp4 (44.88 MB)
5 3 Assessing Generative Responses.mp4 (77.46 MB)
6 1 Fine-Tuning Open-Source Embedders with Synthetic Data.mp4 (152.28 MB)
6 2 Extending RAG Systems with Re-ranking.mp4 (66.95 MB)
6 3 Graph DB + RAG == GraphRAG.mp4 (24.74 MB)
6 4 Developing a GraphRAG System.mp4 (128.18 MB)
Practical Retrieval Augmented Generation (RAG) Introduction (1).mp4 (15.4 MB)
Practical Retrieval Augmented Generation (RAG) Introduction.mp4 (15.4 MB)
Practical Retrieval Augmented Generation (RAG) Summary.mp4 (8.72 MB)
Topics (1).mp4 (3.41 MB)
Topics (2).mp4 (5.89 MB)
Topics (3).mp4 (5.14 MB)
Topics (4).mp4 (3.7 MB)
Topics (5).mp4 (4.33 MB)
Topics.mp4 (3 MB)]
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