Large Language Models (LLMs) MCP Server

Name: Large Language Models (LLMs) MCP Server
Author: RahulSaini02

@RahulSaini02

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

RahulSaini02

Large Language Models (LLMs) MCP Server について

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.

#mcp#transformers#transfer-learning#prompt-engineering #llms #langchain #mcp-server

Large Language Models (LLMs) MCP Server の設定

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リポジトリ

Large Language Models (LLMs) MCP Server のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

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