LearnLLM.AI (LLMForEverybody)
A Chinese-language knowledge-sharing project covering large-model interview questions, a chronological history of key papers, and practical courses on agents, RAG and fine-tuning.
LearnLLM.AI is a Chinese-language project for learning about large language models, built around a curated interview question bank for job seekers, a systematic walk through foundational papers in chronological order starting from the 2017 Transformer paper, and practical courses covering AI agents, RAG knowledge bases, model fine-tuning and LLM application development using tools such as LangChain, LlamaIndex, Dify and MCP.
The paper table tracks landmark work including the GPT series, BERT, T5, ViT, CLIP, DALL-E, InstructGPT, Whisper, the LLaMA series, LLaVA, Qwen, Mistral, Gemma, ChatGLM, and the DeepSeek-V2/V3 and DeepSeek-R1 models, each with a short description of what it introduced. A separate outline, "the road to AGI," walks through large-model architecture, pre-training, optimizers, tokenizers, parallelism, deployment and inference, fine-tuning, quantization, prompt engineering, agents and RAG, and enterprise adoption.