Comprehensive interview prep guide to learn about Agents, AI and tool-calling

An interface library for RL post training with environments.

Train Large Language Models on MLX.

Google Research

Implementation of all RAG techniques in a simpler way（以简单的方式实现所有 RAG 技术）

Inference Llama 2 in one file of pure C

✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product

LLM training in simple, raw C/CUDA

Open source Claude Artifacts – built with Llama 3.1 405B

Whisper with Medusa heads

Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust.

Studying for a tech interview sucks. Here's an open source cheat sheet to help

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…

OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your me…

Video+code lecture on building nanoGPT from scratch

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Med…

Generates a quiz from a URL. You can play the quiz, or let the LLM play it.

Guide on text completion large language model fine-tuning, including example scripts and training data acquiring.

SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.

OpenEQA Embodied Question Answering in the Era of Foundation Models

Distribute and run LLMs with a single file.