AWS Machine Learning Blog·· 1 天前
Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore
Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore
中文摘要
多智能体系统需要比流畅响应更深入的保障：它们必须选择正确的工具，遵守约束条件，并解释其决策。了解如何构建基于Strands的多智能体供应链决策系统，并使用Amazon Bedrock AgentCore评估，通过内置、自定义和可解释性评估器对其进行评估。
英文原文
Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisioning system and evaluate it with Amazon Bedrock AgentCore Evaluations using built-in, custom, and explainability evaluators.
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来源：AWS Machine Learning Blog · aws.amazon.com