{"data":{"slug":"wangrongsheng-awesome-llm-resources","name":"awesome-LLM-resources","tagline":"Summary of the world's best LLM resources.","github_url":"https://github.com/WangRongsheng/awesome-LLM-resources","owner":"WangRongsheng","repo":"awesome-LLM-resources","owner_avatar_url":"https://avatars.githubusercontent.com/u/55651568?v=4","primary_language":null,"stars":8968,"forks":993,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-09-14T09:00:10+00:00","maintenance_label":"Very active","stars_delta_30d":123,"url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources","markdown_url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wangrongsheng-awesome-llm-resources","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources","description":"🧑‍🚀 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. ","homepage_url":null,"license":"Apache-2.0","open_issues":40,"watchers":87,"ai_summary":"A curated list of resources related to large language models, including multimodal generation, agents, programming assistance, AI review, data processing, model training, model inference, and more.","readme_excerpt":"<p align=\"center\">全世界最好的大语言模型资源汇总 持续更新</p>\n\n<p align=\"center\">挖掘那些真正有价值的项目，而不仅仅是噱头</p>\n\n<p align=\"center\">\n  <a href=\"https://github.com/WangRongsheng/awesome-LLM-resourses\"><img src=https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg ></a>\n  <a href=\"https://github.com/WangRongsheng/awesome-LLM-resourses\"><img src=https://img.shields.io/github/forks/WangRongsheng/awesome-LLM-resourses.svg?style=social ></a>\n  <a href=\"https://github.com/WangRongsheng/awesome-LLM-resourses\"><img src=https://img.shields.io/github/stars/WangRongsheng/awesome-LLM-resourses.svg?style=social ></a>\n  <a href=\"https://github.com/WangRongsheng/awesome-LLM-resourses\"><img src=https://img.shields.io/github/watchers/WangRongsheng/awesome-LLM-resourses.svg?style=social ></a>\n  \n</a>\n</p>\n\n> [!TIP]\n> 如果您对**医疗数据集/大模型/多模态/评估相关资源感兴趣**！请访问我们的 🤗 [Awesome-AI4Med](https://github.com/FreedomIntelligence/Awesome-AI4Med) !\n\n#### 📢友情赞助\n\n<table>\n<tr>\n<td width=\"180\"><a href=\"https://www.packyapi.ai/\"><img src=\"assets/cache/logo-ck.png\" alt=\"packyapi.ai\" width=\"150\"></a></td>\n<td>PackyCode 是一家稳定、高效的 API 中转服务商，一句话接入主流大模型。统一域名、统一密钥、智能容灾切换，97% 可用性。人民币1:1充值，无汇率无手续费坑，新用户首充立享折扣 + $1免费体验额度，多分组折扣低至 2 折起，提供专属Codex/Claude Code高速通道。\n\n</br><a href=\"https://www.packyapi.ai/register?aff=b4Vf\">点此链接注册 ，立即开始使用！</a> </td>\n</tr>\n</table>\n\n<table>\n<tr>\n<td width=\"180\"><a href=\"https://go.apimart.ai/gh-awesome-llm-resources\"><img src=\"assets/cache/D86EFC7485D763E251A5C1674E110AE5.png\" alt=\"Infistar.cc\" width=\"150\"></a></td>\n<td>感谢 Infistar.cc 无限星河 赞助本项目！</br>\n\n</br>⚡ 稳定高效的模型通道：价格低至官方渠道0.3折，模型倍率公开透明，多节点冗余保障，有效降低限流、429 与断连影响；\n</br>🧠 主流模型一站式接入：一个 API Key 即可调用 Claude、ChatGPT、Gemini、Kimi、GLM、DeepSeek 等主流模型，覆盖文本生成、图像生成、多模态推理等场景；\n</br>📚 契合本仓库资源实践：无论是多模态生成、辅助编程、模型推理还是 MCP / Agent 开发，都可直接把 Infistar 作为 OpenAI、Claude、Gemini 兼容上游，边学边练，零门槛跑通仓库中收录的各类项目与教程；\n\n</br>🎁 专属福利：通过 [<a href=\"https://www.infistar.cc/register?aff=W8XCMZ49&ref_source=link\">专属推广链接</a>] 注册即可领取 5 美元等值测试额度 / 首充专属优惠，快速接入并开始调用！</td>\n</tr>\n</table>\n\n<table>\n<tr>\n<td width=\"180\"><a href=\"https://go.apimart.ai/gh-awesome-llm-resources\"><img src=\"assets/cache/1A5837081162DA166DB1F685D37D95B5.png\" alt=\"APIMart\" width=\"150\"></a></td>\n<td>感谢 APIMart 赞助了本项目！APIMart 是专注 AI 图片/视频生成的低价 API 平台，GPT-Image-2 低至 $0.006/张，1 美元可出图 160+ 张。图片、视频一套异步 API 通吃，提交任务拿 ID、回调取结果，跑批万张不超时、换模型不改代码。按量付费、无月费，通过此 <a href=\"https://go.apimart.ai/gh-awesome-llm-resources\">注册链接</a> 注册即可开用。</td>\n</tr>\n</table>\n\n---\n\n#### 目录\n\n- [推荐 Suggestion](#推荐-Suggestion) 🌟\n- [数据 Data](#数据-Data)\n- [微调 Fine-Tuning](#微调-Fine-Tuning) \n- [Agentic RL](#Agentic-RL) 🌟\n- [推理 Inference](#推理-Inference)\n- [评估 Evaluation](#评估-Evaluation)\n- [体验 Usage](#体验-Usage)\n- [知识库 RAG](#知识库-RAG)\n- [智能体 Agents](#智能体-Agents)\n- [研究 Research](#研究-Research) 🔥\n- [代码 Coding](#代码-Coding)\n- [视频 Video](#视频-Video) \n- [图片 Image](#图片-Image) 🔥\n- [搜索 Search](#搜索-Search)\n- [语音 Speech](#语音-Speech) 🔥\n- [世界模型 World Models](#世界模型-World-Models) 🔥\n- [龙虾 OpenClaw](#龙虾-OpenClaw)\n- [统一模型 Unified Model](#统一模型-Unified-Model) 🌟\n- [书籍 Book](#书籍-Book)\n- [课程 Course](#课程-Course)\n- [教程 Tutorial](#教程-Tutorial)\n- [论文 Paper](#论文-Paper)\n- [社区 Community](#社区-Community)\n- [模型上下文协议 MCP](#模型上下文协议-MCP)\n- [技能 Skills](#技能-Skills) \n- [推理 Open o1](#推理-Open-o1)\n- [推理 Open o3](#推理-Open-o3)\n- [小语言模型 Small Language Model](#小语言模型-Small-Language-Model) 🌟\n- [小多模态模型 Small Vision Language Model](#小多模态模型-Small-Vision-Language-Model) 🌟\n- [技巧 Tips](#技巧-tips)\n\n\n\n## 推荐 Suggestion\n\n#### Podcast\n\n- [谷歌AI的14年、Gemini翻身之战，与视觉理解模型：专访DeepMind前核心科学家Andrew Dai｜Neolabs特辑](https://www.youtube.com/watch?v=cqW_VWYbIcU)\n- [140. 对姚顺宇的4小时访谈：请允许我小疯一下！在Anthropic和Gemini训模型、技术预测、英雄主义已过去](https://www.youtube.com/watch?v=Gk_KUg3qED0)\n- [张驰: A Year Inside ByteDance's AI Lab](https://changche.substack.com/p/a-year-inside-bytedances-ai-lab)\n- [Luo Fuli: OpenClaw, Agent Frameworks — The AI Paradigm Has Already Changed Dramatically!](https://www.youtube.com/watch?v=V9eI-t3TApE)\n- [A 7-hour marathon interview with Saining Xie: World Models","github_created_at":"2024-04-19T03:31:13+00:00","created_at":"2026-07-07T17:34:16.702591+00:00","updated_at":"2026-09-20T04:33:48.108613+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"computer-vision","name":"Computer 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