基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/evaluating-ai-agents-for-production-a-practical-guide-to-strands-evals
来源摘要/节选
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Moving AI agents from prototypes to production surfaces a challenge that traditional testing is unable to address. Agents are flexible, adaptive, and context-aware by design, but the same qualities that make them powerful also make them difficult to evaluate systematically.
Traditional software testing relies on deterministic outputs: same input, same expected output, every time. AI agents break this assumption. They generate natural language, make context-dependent decisions, and produce varied outputs even from identical inputs. How do you systematically evaluate something that is not deterministic?
In this post, we show how to evaluate AI agents systematically using Strands Evals .…
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