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The AutoML Co-Designer project seeks to transform Automated Machine Learning into an interactive system that allows AI developers to incorporate domain knowledge into the development process. This collaborative framework aims to enhance efficiency and innovation in creating sophisticated AI applications.
The growth of the AI market depends on our ability to rapidly and efficiently develop robust AI applications, for which AI developers can be supported by Automated Machine Learning (AutoML), e.g., in model selection, neural network design, or hyperparameter settings.
However, current AutoML systems are designed as rigid 'black boxes' and thus create a critical bottleneck.
They sideline expert developers, preventing the integration of crucial domain knowledge.
This inflexibility slows down develo…
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
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