🤖 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.
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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
More Memory & Knowledge MCP servers
Rust Docs MCP Server
Govcraft🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
Notion MCP Server
makenotionOfficial Notion MCP Server
Context7 MCP - Up-to-date Docs For Any Cursor Prompt
upstashContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors

The Cloud
TekaThe Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your

Memory
modelcontextprotocolModel Context Protocol Servers
Comments