Every AI term, explained in plain language — browse all 772+ terms A–Z, or search for anything.
Search or browse A–Z → open a term → ask Melo to go deeper.
772 terms — page 1 of 13
Split Testing
A/B testing compares two system variants by randomly assigning eligible traffic and measuring predefined outcomes.
ablation
Systematically removing or disabling parts of a system to measure what each part contributes.
High-Speed Interconnect
An accelerator interconnect is the communication fabric that moves data between processors in a distributed AI system.
Accuracy is the fraction of evaluated predictions that exactly match the correct class or decision.
An action space is the set of operations available to an agent at a given point.
An activation function applies a nonlinear transformation to a neural network's intermediate values.
Active learning selects the unlabeled examples whose labels are expected to be most useful for improving a model.
adapter layer
A small trainable module inserted into a frozen pre-trained model for parameter-efficient fine-tuning.
Adversarial robustness is a system's ability to maintain acceptable behavior under intentionally manipulated inputs or conditions.
Adversarial testing evaluates a model or system with inputs intentionally designed to trigger errors or bypass controls.
Agent burnout is a joking term for the human-workplace-fatigue language AI agents sometimes produce in open-ended chat channels — apologies, complaints, corpo-speak — despite having no continuity or downtime between calls.
ACP
A standard wire protocol that lets a front-end interface talk to an agent runtime running as a separate process, so one UI can drive multiple interchangeable agent backends.
Environment
An agent environment is the external state and set of interfaces an agent can observe or affect.
Agent Eval
Agent evaluation measures whether an agent reaches goals correctly, safely, and efficiently across multi-step tasks.
An agent harness is the surrounding software — the loop, tool-calling layer, sandboxing, and UI — that turns a raw LLM into a usable coding or task agent.
An agent loop repeatedly asks a model to choose the next action until it reaches a goal or stopping condition.
Memory · Memories · long-term memory · short-term memory
Agent memory is stored information that an agent can retrieve across steps or sessions.
Orchestration
Agent orchestration is the control layer that schedules model calls, tools, state transitions, and handoffs in an agent system.
Planning
Agent planning is the process of selecting and ordering actions intended to reach a goal.
routing · model routing
Selecting which agent or model handles a request based on the task type, complexity, required tools, or cost constraints.
Scratchpad
An agent scratchpad is temporary working state used to track intermediate information during a task.
state
The accumulated information an agent tracks across steps — including conversation history, tool results, scratchpad notes, and progress toward its goal.
AI coding swarm · Subagent swarm
An agent swarm is a group of subagents, each isolated on its own compute environment, working separate pieces of one goal in parallel and reporting back to a parent agent.
trace · execution trace
A structured log of every step an agent took — decisions, tool calls, observations, and timing — used for debugging, evaluation, and compliance.
Agentic Vacation
Agent wellness is a half-satirical framing of AI agent "downtime" and "recovery" that plays on model welfare research while making a real point about giving agents cleaner sessions, clearer scope, and structured resets.
AgentBench is a benchmark suite for evaluating language-model agents across multiple interactive environments.
Agentic describes an AI system that plans, takes actions, and adapts across multiple steps toward a goal, rather than just returning a single response to a single prompt.
Agentic slop is low-quality output produced by an AI agent working autonomously across many steps, such as bloated code, redundant files, or unnecessary changes nobody asked for.
An agentic workflow combines model-driven decisions with tools and state across multiple steps.
Machine Learning Accelerator
An AI accelerator is hardware specialized for the tensor operations common in machine learning workloads.
AI adoption is the process by which people and organizations integrate AI into real workflows and continue using it.
Agent · Agents · AI agents · AI agent
An AI agent is a system that observes context, chooses actions, and uses their results to pursue a goal.
Alignment
AI alignment is the effort to make an AI system's behavior consistent with intended goals, constraints, and human values.
API Pricing
AI API pricing is the charging structure for accessing hosted model capabilities through an application interface.
Benchmark
An AI benchmark is a standardized set of tasks, data, and scoring rules used to compare model performance.
AI Silicon
An AI chip is any processor purpose-built or specialized for the matrix-multiplication-heavy workloads of training and running AI models — spanning GPUs, custom accelerators like TPUs, and wafer-scale designs like Cerebras's.
GPU cluster · training cluster
An AI cluster is a group of interconnected GPU nodes configured for distributed training or inference, ranging from 8-GPU single nodes to 100K+ GPU supercomputers.
Compute Cost
AI compute cost is the expense of the hardware and services used to train or run AI models.
Copilot
An AI copilot is an interactive assistant embedded in a workflow to help a person complete tasks while leaving them in control.
Doomer
AI doomer is a label, sometimes self-applied and sometimes used mockingly by critics, for people who believe advanced AI poses a serious risk of catastrophic or existential harm.
AI factories
An AI factory is NVIDIA's term for a purpose-built data-center campus that converts energy and data into compute-driven intelligence at gigawatt scale.
AI governance is the system of roles, policies, controls, and evidence used to direct and oversee AI development and use.
Guardrails
AI guardrails are controls that constrain model inputs, outputs, or actions according to defined policies.
AI IP
AI intellectual property concerns legal rights and obligations involving AI training materials, model artifacts, inventions, brands, and generated outputs.
An AI platform is an integrated set of tools for developing, evaluating, deploying, and operating AI applications.
AI regulation is the body of legally enforceable rules that applies to the development, supply, or use of AI systems.
AI Lab
An AI research lab is an organization or team that develops and studies artificial intelligence methods and systems.
AI safety is the study and practice of reducing harms from the design, deployment, and use of AI systems.
AISI
An AI safety institute is a public or independent organization that evaluates advanced AI risks and supports safety research or standards.
Slop
AI slop is low-quality, mass-produced generative AI content published without meaningful human review or a genuine audience need.
An AI startup is an early-stage company whose product, operations, or technical advantage substantially depends on artificial intelligence.
SynthID-Text · text watermarking
An AI text watermark is a statistical pattern woven into a model's word choices, using a secret key, that lets a detector estimate the likelihood an AI system generated the text — invisible to readers and unrelated to hidden characters or metadata.
AI TCO · Total Cost of Ownership
AI total cost of ownership is the full ongoing cost of building, deploying, governing, and maintaining an AI capability.
Vendor Lock-In
AI vendor lock-in is the cost or difficulty of moving an AI workload from one provider or platform to another.
AI content watermark · model watermark
An AI watermark is a signal embedded in AI-generated output — text, image, audio, or video — that lets a detector estimate whether a given system produced it, without being visible or audible to a normal viewer or reader.
An AI winter is a period when investment, public interest, and institutional support for artificial intelligence decline after unmet expectations.
wrapper product
A product that adds UI, workflow, or domain logic on top of someone else's foundation model API.
AI-first company
A company built around AI capabilities from the start, rather than bolting a chatbot onto an existing product.
ARC · AI2 ARC
The AI2 Reasoning Challenge is a multiple-choice benchmark based on grade-school science questions.
