WangRongsheng/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.
Curated collection of 25+ categorized resource sections covering the complete LLM development lifecycle, from data processing tools (MinerU, Docling) and synthetic data generation frameworks (Distilabel, llm-swarm) to specialized domains like agentic systems, multimodal models, and reasoning approaches (o1/o3 variants). Organized as a living documentation repository with continuous updates linking to papers, tutorials, courses, and community resources, enabling developers to navigate fragmented LLM research and tooling across training, inference optimization, evaluation benchmarks, and emerging protocols like MCP.
7,703 stars. Actively maintained with 51 commits in the last 30 days.
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