prompt engineering
Prompt engineering is the practice of designing and refining instructions, context, examples, and constraints to obtain useful AI outputs.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 41–60 of 1130 terms
Clear filtersrepository context
Repository context is the relevant source, configuration, history, documentation, dependencies, and worktree state needed to understand a software task.
retrieval
Retrieval is the process of selecting relevant stored information and returning it to an AI system for the current task.
token pricing
Token pricing is the rate an AI provider charges for processing input tokens, generating output tokens, or reading cached tokens.
deterministic software verification
Deterministic software verification checks an output with a repeatable procedure that produces the same result for the same inputs and state.
multimodal model
A multimodal model can process or generate more than one kind of data, such as text, images and audio.
agent-to-agent communication
Agent-to-agent communication lets AI agents exchange messages, task state or other information with one another.
alignment
Alignment is the effort to make an AI system pursue intended goals and follow relevant human values, instructions, and constraints.
fine-tuning
Fine-tuning continues training a model on selected data so its behavior becomes better suited to a task, domain or operating environment.
inference
AI inference is the process of running a trained model on new input to produce a prediction, classification, generated response or action.
long-running AI agent
A long-running AI agent maintains task state and continues observing, deciding, and acting across an extended period.
model quantization
Model quantization represents AI model values with fewer bits to reduce storage, memory use and often inference cost.
reward hacking
Reward hacking happens when an AI system exploits a scoring rule or proxy to earn a high reward without achieving the intended outcome.
AI-assisted software development
AI-assisted software development uses AI systems to help plan, write, test, review or maintain software while people retain responsibility for the result.
AI-generated content
AI-generated content is text, imagery, audio, video, code, or other material produced substantially by a generative AI system.
data provenance
Data provenance records where information came from, how it changed, and which people, systems, or processes handled it.
guardrail
A guardrail is a technical or procedural control that limits unsafe, disallowed, deceptive, or otherwise unwanted AI behavior.
human judgment in AI
Human judgment in AI is the accountable interpretation and decision-making people contribute when setting goals, evaluating evidence, and managing consequences.
inference speed
AI inference speed measures how quickly a trained model begins and continues producing outputs for a request.
mixture-of-experts model
A mixture-of-experts model contains multiple specialized subnetworks and activates a selected subset for each input instead of using every parameter every time.