Achieve state of the art inference performance with modern accelerators on Kubernetes

We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top

Semantic IDs: How to train an LLM-Recommender Hybrid with steerability and reasoning on recommendations.

🚀 Efficient implementations of state-of-the-art linear attention models

LettuceDetect is a hallucination detection framework for RAG applications.

The best ChatGPT that $100 can buy.

Legacy Python library for Agentic Document Extraction (ADE). Use the landingai-ade library for all new projects.

Chrome DevTools for coding agents

Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase

O1 Replication Journey

Run Claude Agent (Claude Code) in a sandbox, control it via websocket

This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"

Minimal hackable GRPO implementation with ES

MCP server for interacting with the iOS simulator

Lightweight coding agent that runs in your terminal

An open-source AI agent that brings the power of Gemini directly into your terminal.

The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.

Open Source framework for voice and multimodal conversational AI

Amazon Nova Act is an AWS service for building and deploying highly reliable AI agents that automate UI-based workflows at scale.

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

VIP cheatsheets for Stanford's CS 229 Machine Learning

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

AI Browser

Forecasting.

LLM inference in C/C++

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Leveraging BERT and c-TF-IDF to create easily interpretable topics.