Autonomous agents | CoreWeave Blog

This post details CoreWeave's approach to closing the loop between AI agent training and inference by integrating serverless reinforcement learning (RL), production inference at scale, and observability. It highlights how CoreWeave's Serverless RL enables iterative training on multi-turn agentic tasks, reducing training and inference loop times. The post also emphasizes the importance of CoreWeave Inference for reliable production execution and W&B Weave for monitoring agent behavior and detecting regressions. Finally, it introduces W&B Skills and MCP server for autonomous agent improvement.