D-Skill: Distilling Teacher Knowledge through Agent Skills
arXiv:2610.28914v1 Announce Type: new Abstract: Frontier language-model agents excel at complex tasks, but high inference costs make transferring their capabilities to smaller models essential. Traditional knowledge distillation achieves this through parameter updates, requiring access to the studen
Der Artikeltext wird beim nächsten Sync nachgeladen. Original bei arXiv cs.AI lesen
Quelle: arXiv cs.AI (arXiv cs.AI). Original öffnen