At the Fully Connected 2025 AI conference, we introduced two new integrations between CoreWeave and Weights & Biases and the public preview of online evaluations in W&B Weave. In this webinar, we'll dive deep into these new capabilities and how they help ML engineers and developers iterate faster on their AI agents and applications.
What to expect
See how Weights & Biases brings powerful infrastructure observability from CoreWeave into the training workflow to make debugging easier with a demo
Learn about W&B Inference, powered by CoreWeave, which provides API and playground access to top open-source LLMs without the overhead of dealing with multiple model providers or deploying models
Get an in-depth walk-through of how to set up online evaluations that score in coming traces for production monitoring
What you'll learn
Continuously monitor AI applications with online evaluations to identify and troubleshoot issues in production
Analyze monitors over time to discover trends and patterns to ultimately maintain your application’s quality over time
Use W&B Inference to explore, evaluate, and choose the best open-source models for your use case
Easily run public evaluations on models with a single click to compare performance and keep leaderboards up to date