基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/evaluate-ai-agents-systematically-with-agent-evalkit
来源摘要/节选
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Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations. But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize.
An agent might deliver a well-structured, actionable response while hallucinating, fabricating facts because its tools returned empty results. It might also reach the correct conclusion while skipping the verification steps that a reliable process requires.…
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