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docs/rlhf.html
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@@ -556,6 +556,7 @@ feedback. Various methods include, but not limited to:</p>
<li><a href="#ipo">Identity Preference Optimization (IPO)</a></li>
<li><a href="#kto">Kahneman-Tversky Optimization (KTO)</a></li>
<li><a href="#orpo">Odds Ratio Preference Optimization (ORPO)</a></li>
<li><a href="#grpo">Group Relative Policy Optimization (GRPO)</a></li>
<li>Proximal Policy Optimization (PPO) (not yet supported in axolotl, if you’re interested in contributing, please reach out!)</li>
</ul>
</section>

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search.json
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"text": "Reinforcement Learning from Human Feedback is a method whereby a language model is optimized from data using human\nfeedback. Various methods include, but not limited to:\n\nDirect Preference Optimization (DPO)\nIdentity Preference Optimization (IPO)\nKahneman-Tversky Optimization (KTO)\nOdds Ratio Preference Optimization (ORPO)\nProximal Policy Optimization (PPO) (not yet supported in axolotl, if you’re interested in contributing, please reach out!)",
"text": "Reinforcement Learning from Human Feedback is a method whereby a language model is optimized from data using human\nfeedback. Various methods include, but not limited to:\n\nDirect Preference Optimization (DPO)\nIdentity Preference Optimization (IPO)\nKahneman-Tversky Optimization (KTO)\nOdds Ratio Preference Optimization (ORPO)\nGroup Relative Policy Optimization (GRPO)\nProximal Policy Optimization (PPO) (not yet supported in axolotl, if you’re interested in contributing, please reach out!)",
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