Session
Evaluating Domain-Specific Agent Performance and Metrics
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Artificial Intelligence |
Industry | Enterprise Technology |
Technologies | MLFlow, Mosaic AI |
Skill Level | Intermediate |
Duration | 40 min |
This session explores comprehensive methodologies for assessing agent performance across specialized knowledge domains, tailored workflows and task-specific objectives. We'll demonstrate practical approaches to designing robust evaluation metrics that align with your business goals and provide meaningful insights into agent capabilities and limitations.
Key session takeaways include:
- Frameworks for creating domain-relevant evaluation datasets and benchmarks that accurately reflect real-world use cases
- Techniques for quantifying agent effectiveness through metrics including accuracy, relevance and even custom business objectives
- Strategies for interpreting evaluation results to drive iterative improvement in agent performance
Join us to learn how proper evaluation methodologies can transform your domain-specific agents from experimental tools to trusted enterprise solutions with measurable business value.
Session Speakers
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Eric Peter
/Databricks