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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.
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.
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.
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.
Data Provenance
Information about where data came from, how it was collected, and how it changed before use.
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.
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.
GPU
A highly parallel processor widely used to train and run modern machine-learning models.
Gemini
A family of multimodal AI models and products developed by Google.
Google AI Ecosystem
A guide to separating Google's research organizations, models, products and Cloud infrastructure when reading AI announcements.
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.
Inference
The process of running a trained model on new input to produce predictions, embeddings, or generated output.
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.
Latency and Throughput
Two core serving metrics describing response delay and the amount of work a system completes over time.
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.
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.
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.
Retrieval-Augmented Generation (RAG)
A method that retrieves external information and supplies it to a generative model as context.
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.
Tokenization
The process of converting text or other input into discrete units that a model can process.
Transformer
A neural network architecture that processes sequences primarily through attention mechanisms.