A New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples

2025-10-06 09:21 GMT · 11 months ago aimagpro.com

Do curated, tool-grounded demonstrations build stronger software agents than broad piles of generic instruction data? A team of researchers from Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) proposes LIMI (“Less Is More for Agency”), a supervised fine-tuning method that turns a base model into a capable software/research agent using 78 samples. […]
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