Continuous Learning, Data Drift and Neural Network

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. A sample of model outcomes for multiple model generations affected by Model Collapse.

Data Drift

Data Drift AI AI AI Modeling

Marlos C. Machado, Adjunct Professor at the University of Alberta, Amii Fellow, CIFAR AI Chair – Interview Series

Unite.AI

JUNE 13, 2023

One thing that I'm particularly excited about is this notion of continual learning. What future applications using this continual learning are you most excited about? I think that it's unavoidable that we need to learn continually.

Machine Learning

Machine Learning AI AI Algorithm

Artificial Intelligence Zone

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

Marlos C. Machado, Adjunct Professor at the University of Alberta, Amii Fellow, CIFAR AI Chair – Interview Series

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