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  1. Machine-Learning-Q-and-AI Machine-Learning-Q-and-AI Public

    大模型技术30讲(原版),30 Essential Questions and Answers on Machine Learning and AI,百面大模型

    Python 28 6

  2. happy-llm-colab happy-llm-colab Public

    happy-llm 实践练习:colab 版本、pynb 格式,GPU 免费

    Python 68 12

  3. rag-summary-and-practice rag-summary-and-practice Public

    RAG 技术要点、本地实践(Ollama),支持 md 和 ipynb 两种文档格式。要点:通用的 索引、检索、生成,以及高级索引特性。高级特性包含:查询(重写、拆解、后退、HYDE)、索引(多特征索引、RAPTOR)、检索(ReRank)、生成(Self-RAG)、评估(RAGAS、deepeval、指标)

    Python

  4. skindhu/Build-A-Large-Language-Model-CN skindhu/Build-A-Large-Language-Model-CN Public

    《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书,适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材,我决定将其翻译成中文,并通过 GitHub 进行开源共享。

    HTML 3.3k 568

  5. ningg.github.com ningg.github.com Public

    Ning Guo's blog

    CSS 16 10

  6. reinforcement-learning-theory-and-practice reinforcement-learning-theory-and-practice Public

    RL 强化学习,数学理论、典型算法.

    Python 1