Artificial Intelligence Lifecycle Systems

AI Lifecycle Systems - AI Lifecycle Systems encompass the processes and methodologies involved in the development, deployment, and maintenance of artificial intelligence systems. These systems include various stages such as data collection, model training, evaluation, and continuous improvement to ensure effective and ethical AI performance.

Class Information

JSON JSON-LD OWL XML Markdown

Identification

IRI: https://folio.openlegalstandard.org/RBHMad8oNmYXkYHOHZLCgqv
Label (rdfs): AI Lifecycle Systems
Preferred Label: Artificial Intelligence Lifecycle Systems
Alternative Labels: AI Development Lifecycle, AI System Lifecycle, Intelligent System Lifecycle, Machine Learning Pipeline
Identifier: N/A

Definition and Examples

Definition: AI Lifecycle Systems encompass the processes and methodologies involved in the development, deployment, and maintenance of artificial intelligence systems. These systems include various stages such as data collection, model training, evaluation, and continuous improvement to ensure effective and ethical AI performance.
Examples: N/A

Translations

N/A

Class Relationships

Sub Class Of: Artificial Intelligence System Taxonomy
Parent Class Of: Knowledge Representation

Natural Language Processing

Machine Learning

Prompt

Training Data

Loss Function

Data Augmentation

Prompt Engineering

Big Data

Data Poisoning

Feature Engineering

Lifecycle of an AI System

Reinforcement Learning

Adversarial Machine Learning

Synthetic Data

Autonomous AI System
Is Defined By: N/A
See Also: N/A

Additional Information

Comment: N/A
Description: N/A
Notes: N/A
Deprecated: False

Metadata

History Note: N/A
Editorial Note: N/A
In Scheme: N/A
Source: N/A
Country: N/A

Graph