Artificial Intelligence
Model
Also known as: AI model & Machine learning model
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, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.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, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term, or generate content.
In context
It gets treated as a fixed asset when it is closer to a perishable one. A model reflects the world as it was when it was trained, and that world moves.
The reality
Models are only as good as the glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term and assumptions they are built on.
Compared with
Model vs Algorithm
An glossaryAlgorithmAn algorithm is a set of rules or instructions used to solve a problem or perform a task.Open glossary term is the procedure used to learn or compute. A model is the result, the trained parameters that produce outputs. The same algorithm run on different glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term produces entirely different models.
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, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term to produce outputs.
How are models trained?
By feeding them glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.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 is the degree to which data is accurate, complete, consistent, and reliable enough for the purpose it is being used for. It sets the ceiling on every decision, report, and model built on top of it.Open glossary term, training, and assumptions.
What are examples of models?
Recommendation engines, classifiers, and language models.
Related Services
Related Guides
Related Terms
