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Large Language Models (LLMs) MCP Server

@RahulSaini02

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

RahulSaini02

About Large Language Models (LLMs) MCP Server

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.

Large Language Models (LLMs) MCP Server config

No standard config provided

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Repository

Large Language Models (LLMs) MCP Server tools

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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

Comments

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