Artificial Intelligence
Model Drift
Definition
glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term drift occurs when a model’s glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term declines over time due to changes in glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term or real-world conditions.
In practice
Monitored by comparing glossaryModel OutputModel output is the result or response generated by a model after processing input data.Open glossary term over time and retraining when glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term drops.
The reality
Drift is inevitable in dynamic glossaryEnvironmentA specific setup where software runs, such as development, staging, or production.Open glossary term and requires ongoing monitoring and maintenance.
Plain English
When a glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term gets worse over time.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is model drift?
It is when a glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term’s glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term declines due to changing glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term or conditions.
Why does model drift happen?
Because real-world glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term changes over time.
How do you detect model drift?
By monitoring glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term and comparing outputs over time.
How do you fix model drift?
By retraining or updating the glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term with new glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
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