Constitutional AI

Concept

A technique for alignment where a constitution of rules guides the model's behavior, which can be applied during training or as a system prompt.

Mentioned in 7 videos

Build a research pod on Constitutional AI.

7 expert discussions. Save them all to your own pod, ask any question, get cited answers.

Get Started Free

Videos Mentioning Constitutional AI

The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguyen, OpenAI

The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguyen, OpenAI

Latent Space

A paper discussing methods for creating model completions that adhere to specific principles, relevant to behavioral design and shaping model behavior.

Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI

Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI

Y Combinator

A technique for alignment where a constitution of rules guides the model's behavior, which can be applied during training or as a system prompt.

Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Latent Space

A framework developed by Anthropic for training AI models, which Elicit implemented to create a better summarizer faithful to the source text.

The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert

The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert

Latent Space

Anthropic's approach to alignment, where a second AI model evaluates a first model's outputs based on 'constitutional principles,' effectively modifying the RLHF setup with AI-provided critiques.

Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue

Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue

Latent Space

An approach developed by Anthropic for training AI models using AI-generated feedback based on a set of principles.

⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect

⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect

Latent Space

A framework discussed in relation to Anthropic's safety efforts, where LLMs are trained to adhere to a set of principles, often through reward modeling.

Stanford CS25: Transformers United V6 I Overview of Transformers

Stanford CS25: Transformers United V6 I Overview of Transformers

Stanford Online

An approach introduced by Anthropic where models are guided by a written constitution of rules and principles to align their behavior.