共 5 条相关资源。
面向中文读者的深度学习交互式教材：概念、数学、可运行代码三位一体，从线性回归一路讲到注意力机制与优化算法，配套 B 站视频课程，被国内高校广泛采用。An interactive deep learning book for Chinese readers: concepts, math and runnable code in one place, from linear regression to attention, with companion video courses.
Datawhale 出品的中文 LLM 应用开发教程：从 API 调用到 Prompt 工程、RAG 知识库、Vector 检索、LangChain 应用与部署，全程围绕一个「知识库助手」项目实战。Datawhale's Chinese LLM application course: from API calls to prompt engineering, RAG, vector search and LangChain, built around one knowledge-base assistant project.
Datawhale 的开源大模型部署手册：环境配置、Llama/Qwen/ChatGLM 等主流开源模型的部署、推理、LoRA 微调全流程，中文环境踩坑指南性质极强。A Chinese hands-on guide to deploying open-source LLMs: environment setup, inference and LoRA fine-tuning for Llama, Qwen, ChatGLM and more.
中文世界最系统的免费提示词教程：从基础结构、进阶技巧到 ChatGPT/ Midjourney 实战，配套可运行示例，适合零基础系统入门。The most systematic free Chinese prompt-engineering tutorial, from basics to practical ChatGPT and Midjourney workflows.
中文强化学习实践教程：从 MDP 基础到 DQN、策略梯度、SAC，理论与代码交替推进，每章附可运行 Jupyter，适合中文读者入门 RL。A Chinese hands-on RL tutorial from MDP basics to DQN, policy gradients and SAC, with runnable notebooks per chapter.