vLLM V0 to V1: Correctness Before Corrections in RL

CodeAgents + Structure: A Better Way to Execute Actions

No GPU left behind: Unlocking Efficiency with Co-located vLLM in TRL

Introduction to ggml

An Introduction to AI Secure LLM Safety Leaderboard

Tokenization in Transformers v5: Simpler, Clearer, and More Modular

From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models

Discrete diffusion models have achieved strong empirical performance in text and other symbolic domains, but, especially for uniform-rate models, they often require many steps to generate a single sample. Existing acceleration methods either rely on training additional quantities or suffer from slow mixing. In this...