constitutional-ai

Community

Safety alignment via AI self-critique and feedback.

Authorovachiever
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Constitutional AI trains models to be harmless through self-critique and AI feedback, reducing harmful outputs without human labels by using a constitution of guiding principles.

Core Features & Use Cases

  • Two-phase safety alignment: supervised learning with self-critique and RL from AI feedback (RLAIF)
  • Chain-of-thought critique and revision for transparent reasoning
  • Potentially reduces need for human labeling in safety-critical domains
  • Applicable to policy, risk assessment, and responsible AI development

Quick Start

Define a constitution of principles, generate critiques, revise outputs, and optionally train using TRL or PPO-based methods.

Dependency Matrix

Required Modules

transformerstorchtrl

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: constitutional-ai
Download link: https://github.com/ovachiever/droid-tings/archive/main.zip#constitutional-ai

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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