Learn how to design, develop, deploy and iterate on production-grade ML applications.

Get up and running with Llama 2 and other large language models locally

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

提取微信聊天记录，将其导出成HTML、Word、CSV文档永久保存，对聊天记录进行分析生成年度聊天报告

Self-hosted AI coding assistant

the AI-native open-source embedding database

📋 A list of open LLMs available for commercial use.

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Play ChatGPT and other LLM with Xiaomi AI Speaker

Guided Text Generation

An open source implementation of OpenAI's ChatGPT Code interpreter

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Data Science Roadmap from A to Z

An open-source ChatGPT app with a voice

Access large language models from the command-line