This is a gist (for all the code) for all the code I learnt from watching Youtube videos for Coding AI-based Generative models. Helps me to code papers directly.

ResearchPaperImplementation.md

This gist is the amalgamation of the things that I have learned while reading research papers with their explanations for RAG, PEFT, CoT, ToT Prompting, etc.

1. Low Rank Adaptations
2. LongNet Visualization for Attention
3. LLAMA
4. RAG and Hierarchical Navigable Small Worlds
5. Rotary Position Embeddings
6. Retentive Networks
7. FLARE Coding Implementation
8. FLARE (LangChain) using CassandraDB