Plain-language definitions for the terminology shaping artificial intelligence, from foundational concepts to frontier research.
An AI system that autonomously plans, executes multi-step tasks, and interacts with external tools and environments to...
Dense numerical vector representations of text, images, or other data that capture semantic meaning in a...
A neural network architecture that routes each input to a subset of specialized sub-networks ("experts"), enabling...
AI systems that can process, understand, and generate across multiple data types — including text, images, audio, and...
An architecture that augments language model generation with retrieved external documents, reducing hallucination and...
A neural network architecture based on self-attention mechanisms that processes input tokens in parallel, serving as...
A specialized database optimized for storing, indexing, and querying high-dimensional vector embeddings, enabling fast...
A prompting technique that instructs language models to decompose problems into intermediate reasoning steps before...
The process of running a trained AI model to generate predictions or outputs from new inputs, as distinct from the...
The practice of designing and optimizing input instructions to guide language model behavior, output format, and...
The fundamental units of text that language models process, typically representing subword fragments, whole words, or...
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