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I have a blog where I write about Data Science and share open-source tools. You can find all my articles here.
NOTE] > Based on this course, I co-wrote the LLM Engineer's Handbook, a hands-on book that covers an end-to-end LLM application from design to deployment. The LLM course will always stay free, but you can support my work by purchasing this book.
Learn AI Engineering! Learn it. Build it. Ship it for others.
> 🌍 This course is available in 15 languages: English, 简体中文, 繁體中文, 日本語, 한국어, Español, Français, Русский, Deutsch, العربية, Tiếng Việt, Oʻzbekcha, Türkçe, Portuguese (BR), Українська. Choose your language from the badges above.
Our tutorial supports 10 languages. Let's code together!
Register a domain · Read the tutorial · Browse the learning guide · View the application source
A list of programming tutorials in which aspiring software developers learn how to build an application from scratch. These tutorials are divided into different primary programming languages. Tutorials may involve multiple technologies and languages.
《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
> Featured: REA — Agent-oriented reverse-engineering tools, from application behavior to native binaries. By the creators of awesome-reverse-engineering.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
30u30 is an open-source study guide that takes you through the 30 foundational AI papers recommended by Ilya Sutskever — one paper per day. Each paper comes with a full implementation from scratch, detailed notes, interactive exercises with solutions, and visualizations.
Learning how to design scalable systems will help you become a better engineer.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Most people learn ML frameworks by importing them. We built ours by hand, then made it hit harder.
Build a modern LLM from scratch. Every line commented. Explained like we are five.
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace.
I implemented a transformer model from scratch using PyTorch, based on the paper Attention is All You Need. You can use my scripts to train your own billion or million parameter LLM using a single GPU.
An open, beginner-friendly book that follows one silicon wafer from sand, through the fab, test and packaging, until it becomes a chip.
持续更新书稿 下载中文 EPUB Download English EPUB 下载中文 PDF Download English PDF 源码与勘误 读者实践回执 正文 CC BY-NC 4.0
> Prefer to Clone Locally? > > This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: > > Bash / macOS / Linux: >
The current iteration of the list, such as you see it today, was launched with the express intent to highlight resources that were not on the last iteration, and in particular to make selections from the list of recommendations.
> Prefer to Clone Locally? > > This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: > > Bash / macOS / Linux: >
pth) - 支持跨不同 GPU 数量恢复(自动调整 step) - 支持 wandb 训练记录连续性(自动恢复同一个 run)
This repository contains the code for developing, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch).
"This is a highly welcome addition to the machine learning literature."
Clash官网各版本Clash下载地址及备份下载地址
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.