Agent Evals: Finally, With The Map
A comprehensive look at agent evaluation frameworks and methodologies
About This Presentation
This presentation explores the evolving landscape of agent evaluation, providing a comprehensive roadmap for understanding and implementing effective evaluation frameworks for AI agents.
The session covers the fundamental challenges in agent evaluation and presents practical solutions that development teams can implement to ensure their AI agents perform reliably and effectively.
Watch Recording
This session was recorded at the AI Engineer Summit: Agents at Work! The recording is available for viewing.
Note: Recording access may require login to the Root Signals platform
Key Topics Covered
- Agent evaluation frameworks and methodologies
- Performance metrics for AI agents
- Evaluation strategies for different agent types
- Best practices for continuous agent improvement
- Real-world case studies and implementations
About the Speaker
This presentation was delivered at the AI Engineer Summit: Agents at Work!, featuring expert insights from Root Signals' team on the current state and future direction of agent evaluation.
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