🤖 Large Language Models (LLMs)
@RahulSaini02
About 🤖 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.
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Overview
What is 🤖 Large Language Models (LLMs)?
This repository is a learning resource dedicated to large language models, prompt engineering, and modern generative AI tools such as LangChain, RAG, and vector databases.
How to use 🤖 Large Language Models (LLMs)?
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.
Key features of 🤖 Large Language Models (LLMs)?
- 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
Use cases of 🤖 Large Language Models (LLMs)?
- Learning the fundamentals of transformer models and fine-tuning
- Mastering prompt engineering techniques for various tasks
- Building retrieval-augmented generation (RAG) systems with Lang
Basic information
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