Llms

About

This resource offers a comprehensive collection of materials for learning and experimenting with large language models (LLMs). It covers fundamental concepts, prompt engineering strategies, and modern GenAI tools like LangChain, retrieval-augmented generation (RAG), and vector databases. The repository is structured into modules covering transformer architectures, prompt engineering techniques, and the implementation of LangChain pipelines for building RAG systems.

Key Features

• Prompt engineering strategies
• RAG system implementation
• 0 GitHub stars
• Transformer architecture exploration
• LangChain pipeline examples
• Integration with vector databases

Use Cases

• Learning LLM fundamentals
• Building RAG-based applications
• Experimenting with prompt engineering