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分享AI Infra知识&代码练习：PyTorch/vLLM/SGLang框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
Interesting readings and talks on computer science
A bunch of links to blog posts, articles, videos, etc for learning Zig
RAG that intelligently adapts to your use case, data, and queries
《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
This repository collects all materials from past years of cs152.
Projects for an undergraduate OS course
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
UCB EECS126 : probability theory and random processes.
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
All notes and materials for the CS229: Machine Learning course by Stanford University
attempt at hw for cs 189 fall 2023 Berkeley Introduction to Machine Learning
「Golang学习+面试指南」一份涵盖大部分 Golang程序员所需要掌握的核心知识。准备 Golang面试，首选 GolangGuide！