企业智能体需要特定环境的训练
企业需要能在其自身环境中良好运行的智能体——这些环境由其系统、规则和数据状态所塑造。一个能力广泛的模型仍可能在特定工作流、工具组合或该环境独有的约束上遇到困难。
支持这项说法
AutoSynthData：为企业智能体生成训练数据
企业需要能在其自身环境中良好运行的智能体。它们要求这些智能体完成的工作，是由其所使用的系统、所遵循的规则以及其数据的状态所塑造的。一个模型可能能力广泛，却仍在某个特定环境中遇到困难：处理不佳的工作流、误用的工具组合，或未能遵守的约束。这些正是企业需要改进的弱点。
原始摘录
Enterprises need agents that work well in their own environments. The work they ask these agents to do is shaped by the systems they use, the rules they follow, and the state of their data. A model may be broadly capable and still struggle with a particular environment: a workflow it handles poorly, a combination of tools it misuses, or a constraint it fails to respect. Those are the weaknesses an enterprise needs to improve.