Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) Published 2023-11-26 Download video MP4 360p Recommendations 54:52 BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token 1:26:21 Mistral / Mixtral Explained: Sliding Window Attention, Sparse Mixture of Experts, Rolling Buffer 11:37 What is RAG? (Retrieval Augmented Generation) 18:41 OpenAI Embeddings and Vector Databases Crash Course 07:52 RAG Explained in 7 Minutes: The Future of AI? 3:04:11 Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm 1:14:29 Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math 1:11:47 Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search 15:32 RAG from the Ground Up with Python and Ollama 1:10:55 LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU 04:23 Vector Databases simply explained! (Embeddings & Indexes) 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 09:06 Is Tree-based RAG Struggling? Not with Knowledge Graphs! 44:59 Why are vector databases so FAST? 1:03:16 Semantic Chunking for RAG 12:25 Understanding How Vector Databases Work! 19:15 GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem 50:07 Why Fine Tuning is Dead w/Emmanuel Ameisen 15:21 Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use Similar videos 1:19:27 Stanford CS25: V3 I Retrieval Augmented Language Models 08:29 A Beginner's Guide to Vector Embeddings 14:35 Vector Search: The Future of Data Querying Explained | Semantic Searching 40:29 Vector search and state of the art retrieval for Generative AI apps | BRK206H 40:10 Power of Embeddings with Vector Search | Using Unstructured Data | Future of Data & AI 41:15 A Deep Dive: Embeddings, Vectors & Search Algorithms in LLM's 13:50 Data Science Interview Question : Why re-ranking for RAG? 40:18 Notebook Walkthrough - Question Answering with RAG on a Custom Dataset 43:41 Unlocking RAG Potential with LLMWare's CPU-Friendly Smaller Models 1:05:19 Augmented Language Models (LLM Bootcamp) More results