Agents

Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?

Single source1 source7 Oct 2026

arXiv:2610.08775v1 Announce Type: new Abstract: Large language models (LLMs) can solve many narrow tasks, but querying them separately for millions of related instances can be prohibitively expensive.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.08775

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