SKILLER: A New RL Framework for Skill Extraction in Small Language Models
opendatalab · hf · 2026-08-14
SKILLER is a novel reinforcement learning (RL) framework designed to automatically generate tailored skills for small, open-source language models.
The primary goal of this method is to significantly reduce inference costs by extracting and reusing these "skills," all while maintaining high task performance for real-world deployment efficiency.
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