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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.
AI Memory
Stored conversation state, preferences and task records, distinguished from context windows and model training, with examples of freshness and access boundaries.
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.
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.
Context Window
The amount of tokenized input and generated text a model can consider within one inference context.
Diffusion Model
A generative model that learns to reverse a gradual noise process to create data such as images.
Embedding
A numerical vector representation used to encode semantic or structural properties of data.
Fine-tuning
Additional training that adapts a pre-trained model to a narrower task, domain, or behavior.
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 AI Ecosystem
A guide to separating Google's research organizations, models, products and Cloud infrastructure when reading AI announcements.
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.
Mixture of Experts (MoE)
A model architecture that routes each input to a subset of specialized parameter blocks called experts.
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.
Project Suncatcher
Google Research's exploration of AI computing in space, with solar power, accelerators and optical links examined as a research system.
Quantization
A technique that represents model weights or activations with lower numerical precision to reduce resource use.
RLHF
Reinforcement Learning from Human Feedback, a method for aligning model behavior with human preferences.
Retrieval-Augmented Generation (RAG)
A method that retrieves external information and supplies it to a generative model as context.
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.
Vector Search
Search that retrieves items by similarity between numerical vector representations.