Session

Evaluating Domain-Specific Agent Performance and Metrics

Overview

ExperienceIn Person
TypeBreakout
TrackArtificial Intelligence
IndustryEnterprise Technology
TechnologiesMLFlow, Mosaic AI
Skill LevelIntermediate
Duration40 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