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Innovations in Interoperability: Mixtures of Experts in Neural Networks
This chapter examines a research paper on 'Monet', which proposes a new method for improving interoperability in neural networks through mixtures of expert models. It highlights how this approach optimizes performance for specific input types while addressing interpretability and controllability in AI systems.
Our 192nd episode with a summary and discussion of last week's* big AI news!
*and sometimes last last week's
Note: this one was recorded on 12/04 , so the news is a bit outdated...
Hosted by Andrey Kurenkov and Jeremie Harris.
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