Build an automated generative AI solution evaluation pipeline with Amazon Nova

This AWS blog post explains how to build an automated generative AI solution evaluation pipeline using Amazon Nova and various AWS services. The solution addresses the challenges of evaluating Large Language Models (LLMs) by providing a comprehensive framework for assessing model performance.

• Key evaluation methods include latency metrics, cost analysis, and performance assessments
• Uses multiple evaluation frameworks like FMEval, Ragas, LLMeter, and LLM-as-a-judge metrics
• Provides both online (real-time) and offline (batch) evaluation capabilities
• Architecture includes UI, prompt management, LLM invocation, and evaluation pipelines
• Supports side-by-side model comparisons and automated batch evaluations

The solution helps businesses confidently deploy LLMs by providing a scalable and flexible approach to continuous model performance monitoring and assessment.