arXivAI Agent
Agent in a Bottle: Can LLM Agents Package Their Capabilities into Cheap, Scalable Artifacts?
打造低成本 AI 工件：LLM Agent 是否具備「能力封裝」的本領？
The study introduces the BOTTLED benchmark to evaluate if LLM agents can autonomously package their capabilities into low-cost, task-specific artifacts, revealing that strong zero-shot performance does not guarantee successful bottling.
2 min read