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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
100-Days-Of-ML-Code中文版
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
《Python Cookbook》 3rd Edition Translation
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
QLoRA: Efficient Finetuning of Quantized LLMs
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Simple tutorials using Google's TensorFlow Framework
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Book about interpretable machine learning
SoTA LLM for converting natural language questions to SQL queries
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正
Automatic Generation of Visualizations and Infographics using Large Language Models
HuggingLLM, Hugging Future.
