OPENTINKER

Summary from the TLDR AI newsletter

OpenTinker is an RL-as-a-Service infrastructure for foundation models. It features separation of programming and execution, separation of environment and training code, and seamless transition from training to inference. The platform enables users to perform RL training and inference without requiring local GPU resources by separating client-side programming from server-side execution. It provides a high-level Python API that abstracts away the complexity of distributed systems.