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Explore training workflows that reduce harmful model responses using a written set of principles. The skill covers self-critique, revised training examples, and RLAIF, reinforcement learning from AI feedback, with implementation examples and hardware guidance.

中文简介正在准备中。当前显示英语简介。

  • Designing principles for model safety training
  • Creating training examples through self-critique and revision
  • Planning reinforcement learning with AI-rated responses
davila7/claude-code-templates3.3万2026年10月18日 更新

Explore training workflows that reduce harmful model responses using a written set of principles. The skill covers self-critique, revised training examples, and RLAIF, reinforcement learning from AI feedback, with implementation examples and hardware guidance.

中文简介正在准备中。当前显示英语简介。

  • Designing principles for model safety training
  • Creating training examples through self-critique and revision
  • Planning reinforcement learning with AI-rated responses
Orchestra-Research/AI-Research-SKILLs1.4万2026年10月11日 更新

Método da Anthropic para treinar IA inofensiva através de auto-aprimoramento. Abordagem em duas fases - aprendizado supervisionado com auto-crítica/revisão, depois RLAIF (RL from AI Feedback). Use para alinhamento de segurança, redução de outputs prejudiciais sem rótulos humanos. Alimenta o sistema de segurança do Claude.

中文简介正在准备中。当前显示原文说明。

artubss/SKILLS-CLAUDE-CODE112026年5月17日 更新