Paper: 4B model handles agent decisions, cutting cost up to 89%

A paper from UIUC, Princeton and Google (JevAgentHarness) delegates agents' multiple-choice decisions like tool selection to an open-source 4B model, calling the large model only when uncertain—cutting costs 81-89% and running about 2.5x faster.

2026-10-19 ~ 2026-10-19 · 2 related posts

• Open 4B decision model cuts agent costs 81-89% and beats the closed model it learned from — alex_verem · 2026-10-19

1 near-duplicate retellings: alex_verem