Ben Fielding & Harry Grieve: Gensyn – The Deep Learning Compute Protocol
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Is Jensen the Future of Machine Learning?
A lot of our thinking comes down to the foundation models approach because we think it's the kind of the future of the space. My research back in my PhD was specifically on essentially auto ML techniques, so the idea of allowing somebody to optimize that that model structure and find the best model structure without necessarily being an expert. So you call that pre-training and then you've got fine tuning and that's very kind of classic in the deep learning space. One of the things that we find particularly difficult with that is the bias that gets introduced in that pre- training. It can't kind of you can't go back in and say why did it make this decision.
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