🤖 Large Language Models (LLMs)
About
This repo is dedicated to learning and working with large language models (LLMs), prompt engineering, and modern GenAI tools such as LangChain, RAG, and vector databases.
Details
- Author
- RahulSaini02
- Downloads
- 318
- Categories
- Knowledge Base
Jump to
- Transformer architecture, pretraining vs finetuning, and Hugging Face models
- Prompting strategies, few-shot prompting, and instruction tuning
- LangChain pipelines, RAG systems, memory, tools, and vector databases
Browse the folder structure to access learning materials on transformer architecture, prompt engineering strategies, and LangChain/RAG pipelines. No installation or configuration steps are described.
🤖 Large Language Models (LLMs)
This repo is dedicated to learning and working with large language models (LLMs), prompt engineering, and modern GenAI tools such as LangChain, RAG, and vector databases.
📁 Folder Structure
- 01-transformers/ – Transformer architecture, pretraining vs finetuning, Hugging Face models
- 02-prompt-engineering/ – Prompting strategies, few-shot prompting, instruction tuning
- 03-langchain-mcp-rag/ – LangChain pipelines, RAG systems, memory, tools, vector stores
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