evaluation metric
An AI evaluation metric is a defined measurement used to quantify a particular aspect of an AI system's performance.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 181–200 of 1136 terms
Clear filtersfoundation model
A foundation model is a broadly trained AI model that can be adapted to many downstream tasks and applications.
inference chip
An AI inference chip is a processor optimized to run trained AI models efficiently when they generate predictions or other outputs.
infrastructure bottleneck
An AI infrastructure bottleneck is a constrained component that limits how quickly or efficiently AI compute capacity can expand.
instruction following
AI instruction following is a model's ability to understand and reliably comply with a user's valid requirements and constraints.
interactive generative video
Interactive generative video creates visual sequences that change in response to a user's navigation or action commands.
iterative refinement
Iterative refinement improves an AI result through repeated cycles of building, inspection, feedback, and revision.
large language model gateway
A large language model gateway is an intermediary that standardizes, routes and monitors application calls to one or more language-model providers.
local AI runtime
A local AI runtime loads and executes AI models on a user's computer while managing hardware, memory and generation.
model leaderboard
A model leaderboard ranks AI systems using scores from a defined benchmark or collection of evaluations.
model parameter
A model parameter is a learned numerical value that helps determine how an AI model transforms inputs into outputs.
prompt injection
Prompt injection is an attack that places malicious or conflicting instructions in an AI system's input so the model ignores intended rules or performs an unauthorized action.
proof assistant
A proof assistant is software for writing formal definitions and proofs while mechanically checking that each proof follows the rules of a logical system.
semantic search
Semantic search finds information by the meaning of a query rather than relying only on exact matching words.
sparse attention
Sparse attention reduces transformer computation by allowing each token to attend to a selected subset of other tokens instead of comparing with every token.
speculative decoding
Speculative decoding accelerates AI text generation by proposing several upcoming tokens cheaply and checking them with the target model.
vision-language model
VLMA vision-language model jointly processes images and language so it can describe, answer questions about or act on visual information.
workforce transformation
AI workforce transformation is the change in tasks, roles, skills and organizational structures caused by the adoption of AI systems.
adoption friction
AI adoption friction is the effort, uncertainty, disruption, or risk that makes people delay or avoid moving an AI capability into routine use.
adversarial evaluation
Adversarial evaluation deliberately searches for inputs and edge cases that reveal where an AI system's rules or behavior fail.