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knowledge-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. Cov

  • Skills
  • AI research
  • 0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/knowledge-distillation && curl -fsSL https://doutorai.pt/data/lib/skills__knowledge-distillation.md -o .claude/skills/knowledge-distillation/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: knowledge-distillation
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Emerging Techniques, Knowledge Distillation, Model Compression, Teacher-Student, MiniLLM, Reverse KLD, Soft Targets, Temperature Scaling, Logit Dis

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