From 9fc08a1f2d67381354d07e816e1fd9d1cfcca704 Mon Sep 17 00:00:00 2001 From: Quarto GHA Workflow Runner Date: Tue, 3 Jun 2025 19:33:03 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- docs/rlhf.html | 1 + search.json | 4 +- sitemap.xml | 380 ++++++++++++++++++++++++------------------------- 4 files changed, 194 insertions(+), 193 deletions(-) diff --git a/.nojekyll b/.nojekyll index b9a1fddc1..8a4672223 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -8a186fbf \ No newline at end of file +4ea7ed03 \ No newline at end of file diff --git a/docs/rlhf.html b/docs/rlhf.html index f82c78e54..f0f0c8360 100644 --- a/docs/rlhf.html +++ b/docs/rlhf.html @@ -556,6 +556,7 @@ feedback. Various methods include, but not limited to:

  • Identity Preference Optimization (IPO)
  • Kahneman-Tversky Optimization (KTO)
  • Odds Ratio Preference Optimization (ORPO)
    • +
  • Group Relative Policy Optimization (GRPO)
  • Proximal Policy Optimization (PPO) (not yet supported in axolotl, if you’re interested in contributing, please reach out!)
    • diff --git a/search.json b/search.json index 97ad2a8b8..e301e7fcd 100644 --- a/search.json +++ b/search.json @@ -155,7 +155,7 @@ "href": "docs/rlhf.html", "title": "RLHF (Beta)", "section": "", - "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!)", "crumbs": [ "How To Guides", "RLHF (Beta)" @@ -166,7 +166,7 @@ "href": "docs/rlhf.html#overview", "title": "RLHF (Beta)", "section": "", - "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!)", "crumbs": [ "How To Guides", "RLHF (Beta)" diff --git a/sitemap.xml b/sitemap.xml index e0f66241c..10c86af9e 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,762 +2,762 @@ https://docs.axolotl.ai/FAQS.html - 2025-06-02T22:54:37.550Z + 2025-06-03T19:30:48.979Z https://docs.axolotl.ai/src/axolotl/integrations/cut_cross_entropy/ACKNOWLEDGEMENTS.html - 2025-06-02T22:54:37.572Z + 2025-06-03T19:30:49.002Z https://docs.axolotl.ai/examples/colab-notebooks/colab-axolotl-example.html - 2025-06-02T22:54:37.557Z + 2025-06-03T19:30:48.986Z https://docs.axolotl.ai/docs/lr_groups.html - 2025-06-02T22:54:37.555Z + 2025-06-03T19:30:48.985Z https://docs.axolotl.ai/docs/lora_optims.html - 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