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Find an AI concept.
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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.
AI for Science
AI-assisted scientific prediction and candidate selection, with attention to experimental validation, data leakage and the scope of automated research.
Anthropic
An AI company that develops the Claude model and product family and conducts AI safety research.
Attention
A mechanism that lets a neural network weigh the relevance of different positions when computing a representation.
BERT
Bidirectional Encoder Representations from Transformers, an encoder-based language representation model.
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.
Data Provenance
Information about where data came from, how it was collected, and how it changed before use.
Datasheets for Datasets
A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.
Diffusion Model
A generative model that learns to reverse a gradual noise process to create data such as images.
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.
Knowledge Distillation
A training method in which a smaller student model learns from the outputs or representations of a larger teacher model.
MMLU
Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.
Mistral AI
An AI company providing models and inference services, with a guide to model-specific licenses, hosted versus self-operated deployment and task-level comparison.
Mixture of Experts (MoE)
A model architecture that routes each input to a subset of specialized parameter blocks called experts.
Model Card
A structured document that describes a model's intended use, evaluation, limitations, and other important context.
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.
Project Suncatcher
Google Research's exploration of AI computing in space, with solar power, accelerators and optical links examined as a research system.
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.
System Card
Documentation describing a deployed AI system, including capabilities, evaluations, mitigations, and limitations.
Tensor Processing Unit (TPU)
Google's specialized machine-learning accelerator, explained through matrix computation, software compatibility and workload-level evaluation.
Transformer
A neural network architecture that processes sequences primarily through attention mechanisms.