Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)
54:52
BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token
18:41
OpenAI Embeddings and Vector Databases Crash Course
1:10:55
LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU
11:37
What is RAG? (Retrieval Augmented Generation)
56:05
Kùzu user meeting - November 27 2024
15:40
GraphRAG: LLM-Derived Knowledge Graphs for RAG
27:14
Transformers (how LLMs work) explained visually | DL5
14:08