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Find an AI concept.
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AI Agent
An AI system that selects and executes actions over multiple steps to pursue a goal.
AI Agent Oversight
Human control over agent goals, tool permissions, execution and outcomes, including meaningful reviews and recovery from failures.
AI Alignment
Research and design for relating AI behavior to human intentions, values and constraints, including reward proxies, feedback and operational evaluation.
Anthropic
An AI company that develops the Claude model and product family and conducts AI safety research.
Benchmark Data Contamination
The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.
Claude
A family of general-purpose AI models and conversational products developed by Anthropic.
Datasheets for Datasets
A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.
Fine-tuning
Additional training that adapts a pre-trained model to a narrower task, domain, or behavior.
Foundation Model
A broadly trained model that can be adapted to many downstream tasks and applications.
GPT
Generative Pre-trained Transformer, a family of autoregressive language models associated with OpenAI.
GPT-6 Astra
An OpenAI GPT-family model described for complex reasoning, coding, research and tool-based work, with a practical framework for task-level evaluation.
Google DeepMind
Google's AI research organization, formed from the combination of DeepMind and Google Brain teams.
HELM
Holistic Evaluation of Language Models, a framework for evaluating models across scenarios and metrics.
Hallucination in AI
A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.
Large Language Model (LLM)
A general-purpose language model trained on large datasets and usually built at substantial scale.
MMLU
Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.
Model Card
A structured document that describes a model's intended use, evaluation, limitations, and other important context.
Multimodal AI
AI systems that process or generate more than one type of data, such as text, images, audio, or video.
OpenAI
An artificial intelligence research and deployment organization known for GPT models and ChatGPT.
Physical AI
AI that connects perception and decision-making to physical actions, including robotics toolchains, sim-to-real gaps and evaluation of complete tasks.
RLHF
Reinforcement Learning from Human Feedback, a method for aligning model behavior with human preferences.
Red Teaming
Adversarial testing intended to discover failure modes, unsafe behavior, or exploitable weaknesses in an AI system.
Safety Evaluation
Testing designed to measure risks, harmful behaviors, and the effectiveness of safeguards in an AI system.
Sovereign AI
Control over AI data, infrastructure, models and operational capabilities, examined separately from data location and supplier branding.
System Card
Documentation describing a deployed AI system, including capabilities, evaluations, mitigations, and limitations.
Voice AI
Speech recognition, synthesis and conversation systems, including full-duplex interaction, voice replication and evaluation of actual task outcomes.