Introducing the Baseten Loops SDK

Baseten Loops is a Python SDK designed to streamline the process of transitioning from reinforcement learning (RL) training to production inference by abstracting hardware complexity and focusing on training scripts. It addresses challenges faced by machine learning teams, such as gaps in open-source RL libraries, inefficiencies in deploying models to inference, and unpredictable performance on shared-infrastructure platforms. Loops offers a solution by providing a dedicated infrastructure that simplifies operations like sharding, memory management, and parallelism strategy while enabling predictable throughput and runtime. It supports advanced features like asynchronous RL and long-context capabilities, and integrates easily with existing workflows by allowing seamless migration through simple code changes. Currently in beta, Baseten Loops supports SFT and RL for various model families and aims to develop tools like Rollout Manager to further enhance the RL inference process and reduce the friction between training and production deployment.