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Results for “Dataset”
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AI Alignment

Research and design for relating AI behavior to human intentions, values and constraints, including reward proxies, feedback and operational evaluation.

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AI for Science

AI-assisted scientific prediction and candidate selection, with attention to experimental validation, data leakage and the scope of automated research.

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Anthropic

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

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Benchmark Data Contamination

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

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Data Provenance

Information about where data came from, how it was collected, and how it changed before use.

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Datasheets for Datasets

A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.

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Embedding

A numerical vector representation used to encode semantic or structural properties of data.

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Fine-tuning

Additional training that adapts a pre-trained model to a narrower task, domain, or behavior.

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GPT

Generative Pre-trained Transformer, a family of autoregressive language models associated with OpenAI.

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HELM

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

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Large Language Model (LLM)

A general-purpose language model trained on large datasets and usually built at substantial scale.

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MMLU

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

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Model Card

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

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Physical AI

AI that connects perception and decision-making to physical actions, including robotics toolchains, sim-to-real gaps and evaluation of complete tasks.

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RLHF

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

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Safety Evaluation

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

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Vector Search

Search that retrieves items by similarity between numerical vector representations.