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Study explains why AI agents benefit from "skills" and when they fail
Study explains why AI agents benefit from "skills" and when they fail

A study from researchers at Princeton University and UC San Diego finds that so-called skills make AI agents better mainly through structured workflows, not through added knowledge. But as the skill library grows, agents have a harder and harder time finding the right set of instructions.
The article Study explains why AI agents benefit from "skills" and when they fail appeared first on The Decoder.

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