Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
The New Stack·2d ago·5 min read
How to turn AI production feedback into better agents
TL;DR
CoreWeave Forge integrates AI production feedback into a cohesive development environment, enhancing model performance and reducing costs. This system improves failure detection by 20% and cuts issue resolution costs in half.
✦ Why It Matters
Start using CoreWeave Forge to connect your AI production feedback loop today.
Key Takeaways
- Identify production failures to improve evaluation processes.
- Utilize CoreWeave tools for integrated AI development.
- Capture production signals to enhance model performance.
- Experiment with Serverless SFT and RL for tailored training.
How It Works
CoreWeave Forge connects the five stages of AI improvement—running, observing, curating, improving, and evaluating—ensuring that each stage retains context for the next. This integration allows teams to trace deployments back to their model versions and production examples, facilitating better decision-making and continuous improvement.