How to Choose the Right AI Evaluation Metrics (with Galileo)
AI Summary
In this video, Erin Mikail from Galileo discusses the importance of selecting the right AI evaluation metrics for developing high-performing and safe AI applications. The video covers key categories of metrics including response quality, safety and compliance, model confidence, and agent-specific measures. Erin emphasizes that metrics are crucial for tracking performance and avoiding issues such as hallucinations or safety breaches. The tutorial also showcases Galileo’s out-of-the-box metrics and the flexibility to add custom metrics for niche use cases.