AI Infrastructure · GitHub ·8,059 ★

awesome-LLM-resources

🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

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Details

Author
WangRongsheng
Category
AI Infrastructure
Platform
GitHub
Framework
openai
Language
unknown
Stars
8,059
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@WangRongsheng@rongshengwangw-r-s.github.io

Overview

🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

Quick start

git

git clone https://github.com/WangRongsheng/awesome-LLM-resources

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What awesome-LLM-resources can do

llmrag
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is awesome-LLM-resources?
🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
How do I install awesome-LLM-resources?
Use git: `git clone https://github.com/WangRongsheng/awesome-LLM-resources`. Full setup details on the source page linked above.
Is awesome-LLM-resources open source?
awesome-LLM-resources is published on GitHub.
What are alternatives to awesome-LLM-resources?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for awesome-LLM-resources is sourced from GitHub, published by WangRongsheng.

Last scraped: · First indexed:

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