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Turn experiment data into your next research decision
Every training run generates valuable data. But comparing experiments, investigating performance issues, and deciding what to try next can slow research progress.
Join CoreWeave for a 30-minute technical deep dive into AI-powered model development. See how CoreWeave Forge can help streamline experiment tracking, accelerate analysis, and support more efficient research workflows, so you can spend less time manually analyzing results and more time improving model performance.
What you’ll learn:
- Track and compare training runs: Use Weights & Biases Models to track experiments, visualize training metrics, and identify promising model configurations.
- Investigate training behavior: Use CoreWeave Notebooks for custom analysis, advanced visualizations, and debugging.
- Explore results with AI coding agents: Connect coding agents through MCP to examine training results, investigate issues, and accelerate research workflows.
- Automate analysis and iteration: See how CoreWeave ARIA, the AI Research and Iteration agent, can analyze experiments, surface actionable insights, and automate repetitive research tasks.
Follow live demonstrations, from identifying high-performing checkpoints and investigating training anomalies to using AI agents to analyze results and inform the next experiment.
Better models come from faster learning and smarter iteration. See how AI-powered research workflows can help accelerate the path from experiment to breakthrough.
