Jun 17, 2025
Improve AI Reliability with Custom Metrics [Webinar]
Shohil Kothari
Head of Growth
Shohil Kothari
Head of Growth
With AI becoming mission-critical, relying solely on out-of-the-box evaluation metrics is not enough. Custom metrics empower teams to define exactly what “success” means for their unique AI use cases—whether it’s domain-specific, agentic, or multimodal.
In this workshop, you’ll learn how to design, implement, and validate custom metrics for AI reliability. Plus, we’ll showcase Galileo’s proprietary small language evaluation models, Luna, and how to leverage them to cut the cost and latency of real-time evaluations while improving accuracy for custom metrics.
Register for our upcoming webinar to learn:
How to build and tune custom metrics—from code to production-ready standards
Strategies for scaling evaluations across millions of interactions
A live demo of Luna in action: fine-tuning an SLM for your metric and deploying it on Galileo’s inference engine
With AI becoming mission-critical, relying solely on out-of-the-box evaluation metrics is not enough. Custom metrics empower teams to define exactly what “success” means for their unique AI use cases—whether it’s domain-specific, agentic, or multimodal.
In this workshop, you’ll learn how to design, implement, and validate custom metrics for AI reliability. Plus, we’ll showcase Galileo’s proprietary small language evaluation models, Luna, and how to leverage them to cut the cost and latency of real-time evaluations while improving accuracy for custom metrics.
Register for our upcoming webinar to learn:
How to build and tune custom metrics—from code to production-ready standards
Strategies for scaling evaluations across millions of interactions
A live demo of Luna in action: fine-tuning an SLM for your metric and deploying it on Galileo’s inference engine
With AI becoming mission-critical, relying solely on out-of-the-box evaluation metrics is not enough. Custom metrics empower teams to define exactly what “success” means for their unique AI use cases—whether it’s domain-specific, agentic, or multimodal.
In this workshop, you’ll learn how to design, implement, and validate custom metrics for AI reliability. Plus, we’ll showcase Galileo’s proprietary small language evaluation models, Luna, and how to leverage them to cut the cost and latency of real-time evaluations while improving accuracy for custom metrics.
Register for our upcoming webinar to learn:
How to build and tune custom metrics—from code to production-ready standards
Strategies for scaling evaluations across millions of interactions
A live demo of Luna in action: fine-tuning an SLM for your metric and deploying it on Galileo’s inference engine
With AI becoming mission-critical, relying solely on out-of-the-box evaluation metrics is not enough. Custom metrics empower teams to define exactly what “success” means for their unique AI use cases—whether it’s domain-specific, agentic, or multimodal.
In this workshop, you’ll learn how to design, implement, and validate custom metrics for AI reliability. Plus, we’ll showcase Galileo’s proprietary small language evaluation models, Luna, and how to leverage them to cut the cost and latency of real-time evaluations while improving accuracy for custom metrics.
Register for our upcoming webinar to learn:
How to build and tune custom metrics—from code to production-ready standards
Strategies for scaling evaluations across millions of interactions
A live demo of Luna in action: fine-tuning an SLM for your metric and deploying it on Galileo’s inference engine