knowledge-distillation

SKILL.md

Key Techniques: Temperature scaling, soft targets, reverse KLD (MiniLLM), logit distillation, response distillation

Papers: Hinton et al. 2015 (arXiv 1503.02531), MiniLLM (arXiv 2306.08543), KD Survey (arXiv 2402.13116)

Innovation: Use reverse KLD instead of forward KLD for better generative model distillation.

Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies. Source: ovachiever/droid-tings.

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