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Results for “Safety Evaluation”

An AI system that selects and executes actions over multiple steps to pursue a goal.

An AI company that develops the Claude model and product family and conducts AI safety research.

The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.

A family of general-purpose AI models and conversational products developed by Anthropic.

Holistic Evaluation of Language Models, a framework for evaluating models across scenarios and metrics.

A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.

Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.

A structured document that describes a model's intended use, evaluation, limitations, and other important context.

AI systems that process or generate more than one type of data, such as text, images, audio, or video.

An artificial intelligence research and deployment organization known for GPT models and ChatGPT.

Reinforcement Learning from Human Feedback, a method for aligning model behavior with human preferences.

Adversarial testing intended to discover failure modes, unsafe behavior, or exploitable weaknesses in an AI system.

Testing designed to measure risks, harmful behaviors, and the effectiveness of safeguards in an AI system.

Documentation describing a deployed AI system, including capabilities, evaluations, mitigations, and limitations.