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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 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.
Benchmark Data Contamination
The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.
ChatGPT
A conversational AI product from OpenAI that provides natural-language interaction with AI models.
ChatGPT Work
A task environment for creating deliverables with available files and tools, explained through clear goals, access boundaries and reviewable outputs.
Context Window
The amount of tokenized input and generated text a model can consider within one inference context.
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.
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.
Foundation Model
A broadly trained model that can be adapted to many downstream tasks and applications.
Hallucination in AI
A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.
KV Cache
A cache of attention keys and values used to avoid recomputing earlier context during autoregressive generation.
Knowledge Distillation
A training method in which a smaller student model learns from the outputs or representations of a larger teacher model.
Large Language Model (LLM)
A general-purpose language model trained on large datasets and usually built at substantial scale.
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.
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.
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.
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.
Vector Search
Search that retrieves items by similarity between numerical vector representations.