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preference-optimization

Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or…

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What it does and how to use it

A skill that teaches Claude Code to do general 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/wshobson-agents__preference-optimization && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__preference-optimization.md -o .claude/skills/wshobson-agents__preference-optimization/SKILL.md

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

Content

---
name: preference-optimization
description: Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.
---

# Preference Optimization

This skill assumes `finetuning-method-selection`
already routed here because the data shape is
preference pairs or unpaired thumbs-up/down
feedback, not demonstrations (that's
`lora-qlora-recipes`) or a verifiable reward
signal (that's `grpo-rlvr-training`). What
follows is

- 🔒 Full content on the Pro plan (€7.99/month) -

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