Artificial Intelligence
Model
Also known as: Machine Learning
Plain English
A glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term trained to do a specific job.
Definition
A model is a glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term or representation used to glossaryProcessA process is a defined sequence of steps used to achieve a specific outcome.Open glossary term glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term and generate outputs, often trained to perform specific tasks.
In practice
Used in AI and analytics to predict outcomes, classify glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term, or generate content.
The reality
Models are only as good as the glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term and assumptions they are built on.
Also known as
Machine Learning
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is a model in AI?
It is a trained glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term that glossaryProcessA process is a defined sequence of steps used to achieve a specific outcome.Open glossary term glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term to produce outputs.
How are models trained?
By feeding them glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term and adjusting based on glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term.
What affects model accuracy?
glossaryData QualityData quality refers to the accuracy, completeness, consistency, and reliability of data.Open glossary term, training, and assumptions.
What are examples of models?
Recommendation engines, classifiers, and language models.
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