# awesome-LLM-resources

A continuously updated, Chinese-language curated list of large-language-model resources, organized by topic such as data processing, fine-tuning, reinforcement learning, inference, evaluation, RAG, agents, MCP and small language models.

awesome-LLM-resources is a continuously updated, Chinese-language curated list of large language model resources, aiming to surface genuinely useful projects rather than only well-marketed ones. It links to a related project, Awesome-AI4Med, for medical datasets, models, multimodal and evaluation resources.

Entries are grouped into sections covering data processing and acquisition, fine-tuning, agentic reinforcement learning, inference, evaluation, hands-on usage, retrieval-augmented generation, agents, research, coding, video, image, search, speech, world models, unified models, books, courses, tutorials, papers, community resources, the Model Context Protocol, agent skills, and small language and vision-language models, alongside a list of recommended podcast interviews with researchers and founders in the field.

Website: https://github.com/WangRongsheng/awesome-LLM-resources