Skills for Real Engineers. Straight from my .agents directory.

ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English versi…

Perplexity Inspired Answer Engine

Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

Llama3-中文后训练版

The context API to search, scrape, and interact with the web at scale. 🔥

视频号、小程序、抖音、快手、小红书、直播流、m3u8、酷狗、QQ音乐等常见网络资源下载!

llama3 implementation one matrix multiplication at a time

A curriculum for learning about foundation models, from scratch to the frontier

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

A complete computer science study plan to become a software engineer.

Best practice for training LLaMA models in Megatron-LM

This is a repo with links to everything you'd ever want to learn about data engineering

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

An LLM playground you can run on your laptop

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Instruct-tune LLaMA on consumer hardware

Making large AI models cheaper, faster and more accessible

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀