Systematic AI Agent Evaluation with Strands Evals
Strands Evals offers a comprehensive framework for systematic AI agent evaluation. Leverage LLM-based evaluators, user simulation, and automated test generation for robust agent quality assurance.
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Automated GenAI Evaluation with Amazon Nova Rubric Judge
Revolutionize GenAI evaluation on SageMaker with Amazon Nova’s rubric-based LLM judge. Dynamically generate criteria, get transparent scores & justifications for data-driven model improvements.
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LLM Selection: Data-Driven Evaluation with 360-Eval Framework
Learn how to select the right LLM with AWS’s 360-Eval framework. This guide details multi-metric evaluation, covering accuracy, cost, and latency for data-driven decisions.
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Amazon Q Business Accuracy: Evaluation Framework Deep Dive
Evaluate Amazon Q Business accuracy with AWS’s new framework. Learn about key metrics, two solution architectures (comprehensive & lightweight), and strategies to improve your RAG application’s performance.
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Automated Generative AI Evaluation with Amazon Nova
Automate generative AI evaluation with Amazon’s new AWS framework. Features multiple LLMs, customizable metrics, and a user-friendly interface for efficient model assessment and continuous monitoring.
