distribution strategy
A distribution strategy defines how a product reaches, persuades, and serves the customers most likely to value it.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 601–620 of 1136 terms
Clear filtersdocument understanding
Document understanding is the ability of an AI system to extract meaning, structure, and useful information from documents.
documentation index
A documentation index is a structured directory of documentation pages that helps people and software locate the authoritative resource for a topic, task, version, or component.
domain-specific AI model fine-tuning
Domain-specific AI model fine-tuning adapts a pretrained model using examples from a particular field, workflow or organization.
double spending
Double spending is an attempt to use the same digital value for more than one payment before the payment system establishes which transfer is valid.
drawdown
A drawdown is the decline in an account, strategy or asset from a previous peak to a later low before a new peak is reached.
drug target identification
Drug target identification finds a biological molecule or process whose modification may produce a useful therapeutic effect.
dynamic AI model quantization
Dynamic AI model quantization applies different precision choices according to model components or runtime values rather than using one uniform format everywhere.
edge computing
Edge computing processes data and makes decisions near the devices or locations where events occur instead of sending every task to a distant central system.
eight-bit AI model quantization
Q8Eight-bit AI model quantization uses roughly eight bits of precision to reduce model size while retaining more numerical detail than four-bit versions.
email assistant
An email assistant uses AI to organize messages, surface priorities, draft replies, extract tasks, and reduce repetitive inbox work.
email triage
Email triage classifies and prioritizes incoming messages so users can quickly see what needs action, information, or no immediate attention.
engram embedding layer
An engram embedding layer is a lookup-based neural-network component that retrieves learned representations for common short token sequences without recomputing them through every model layer.
ensemble model
An ensemble model combines predictions from multiple models or model runs to improve accuracy, robustness, or uncertainty estimation compared with relying on one prediction alone.
enterprise knowledge model adaptation
Enterprise knowledge model adaptation makes an AI system more useful with an organization's private terminology, examples, documents and workflows.
environment variable
An environment variable is a named value supplied to a running process outside its source code, often for deployment-specific configuration.
ephemeral agent identity
An ephemeral agent identity is a narrowly scoped agent credential or principal that expires automatically after a short duration, session, or task.
escrow
Escrow holds funds or value under agreed conditions until the parties or a trusted mechanism determine that the transaction can be completed or reversed.
evaluation review set
An AI evaluation review set is a manageable sample of model or agent cases selected for human annotation and quality analysis.
evaluation rubric
An evaluation rubric is a structured set of criteria and scoring guidance used to judge the quality of an output consistently.