LangChain trains custom models for LangSmith Engine with Baseten Loops

This post details Baseten's collaboration with LangChain, highlighting the use of Baseten Loops for training custom models for LangSmith Engine. It emphasizes how Loops provides managed infrastructure for fine-tuning (supervised, RL, long-context) and connects training directly to Baseten's inference platform. This integration allows for rapid iteration and deployment of models, enabling LangChain to specialize models for tasks like diagnosing GitHub issues and categorizing traces by failure mode. The post showcases how Baseten's infrastructure empowers teams to shape agent behavior through custom model training and production deployment.