Constitutional AI
An AI alignment technique developed by Anthropic where models are trained to follow a set of explicit principles (a 'constitution') rather than relying solely on human feedback for every decision.
Constitutional AI (CAI) addresses limitations of RLHF by providing models with a written set of principles to guide their behavior. The model critiques and revises its own outputs based on these principles, reducing the need for extensive human labeling. Anthropic's Claude models are trained using CAI, with principles covering helpfulness, harmlessness, and honesty. The approach is more scalable than RLHF because it reduces dependence on human evaluators. CAI has influenced the broader AI safety field and represents a promising direction for aligning AI systems as they become more capable.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
AI Safety
The interdisciplinary field focused on preventing AI systems from causing harm, encompassing alignment, robustness, interpretability, and governance of AI technologies.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Deepfake
AI-generated synthetic media — images, video, or audio — that realistically depict events or statements that never occurred, created using deep learning techniques.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
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