Automation, Continuous Learning, Data Drift and Explainability

The AI Feedback Loop: Maintaining Model Production Quality In The Age Of AI-Generated Content

Unite.AI

JULY 25, 2023

An AI feedback loop is an iterative process where an AI model's decisions and outputs are continuously collected and used to enhance or retrain the same model, resulting in continuous learning, development, and model improvement. This is known as catastrophic forgetting.

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Continuous AI Adapts to a Changing World

DataRobot Blog

MARCH 31, 2022

And sensory gating causes our brains to filter out information that isn’t novel, resulting in a failure to notice gradual data drift or slow deterioration in system accuracy. Continuous Learning. Continuous learning is an exciting new product feature, available with version 8.0 See Continuous AI in Action.

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The AI Feedback Loop: Maintaining Model Production Quality In The Age Of AI-Generated Content

Continuous AI Adapts to a Changing World

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