Beyond Experiment Tracking: Analyze, Debug, and Automate Model Improvement

​Turn experiment data into your next research decision

​Every training run generates valuable data. Keeping research moving means turning those results into confident decisions about what to try next. But when the evidence is scattered across experiments and tools, understanding what drove performance and which findings to act on takes a lot of work.

​Join CoreWeave for a technical deep dive into AI-assisted model development. See how CoreWeave Forge streamlines experiment tracking and supports deeper analysis and more efficient research workflows, so you can spend less time piecing together results and more time putting insights to work.

​You’ll learn how CoreWeave Forge helps you:

• ​Compare training runs and identify promising model configurations using Weights & Biases Models

• ​Investigate training behavior through custom analysis, visualizations, and debugging in CoreWeave Notebooks

• ​Connect AI coding agents through MCP to examine results and troubleshoot issues

• ​Use CoreWeave ARIA to analyze experiments and automate repetitive research tasks that slow iteration

​See live demos of how Forge workflows help you identify high-performing checkpoints and diagnose training anomalies. Explore how AI agents can help you analyze experiment results and decide what to try next.

​Register here: https://utm.io/uuqDQ