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How to Evaluate AI Agents From Tool Calls to Task Completion

How to Evaluate AI Agents From Tool Calls to Task Completion

二〇二六年九月二十一日 · 英文原文

When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and... When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool…

When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and... When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and recover when a step fails. Scoring whether the model sounds right tells you almost nothing about whether the work finished. That gap is why agent evaluation has had to evolve from scoring a single function call to scoring an entire task… Source

译自 NVIDIA · Developer 博客 · 录于 二〇二六年九月二十一日