Building production agents with training and evaluation
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AI agents in production benefit from a continuous training and evaluation loop. While training helps them adapt to evolving requirements, evaluation helps to identify areas of improvement and build confidence in their reliability.
In this webinar, CrewAI and Arize will introduce the fundamentals of AI agent training and evaluation, explain how to evaluate agentic workflows and show a demo of Arize integration with CrewAI.
- Training agents automatically with CrewAI
- Evaluating agentic workflows with Arize
- Monitoring agentic workflow performance
- Generating quality scores for outputs
- Ensuring correct tool use by agents
Ready to get started?
Manage the full AI agent lifecycle — build, test, deploy, and scale — with a visual editor and ready-to-use tools.
All the power of AMP Cloud, deployed securely on your own infrastructure — on-prem or private VPCs in AWS, Azure, or GCP
An open-source orchestration framework with high-level abstractions and low-level APIs for building complex, agent-driven workflows.
