🤖 Large Language Models (LLMs)

Name: 🤖 Large Language Models (LLMs)
Author: RahulSaini02

@RahulSaini02

关于 🤖 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.

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

基本信息

分类

记忆与知识

传输方式

stdio

发布者

RahulSaini02

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

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概览

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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