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What will come after huge paramater models?
April 20, 2023, 6:37 p.m. | /u/Lewenhart87
Deep Learning www.reddit.com
Why?
Main reasons:
* The larger the models the more data you need. There is simply not enough data (in the world) to train these super large models.
* The larger the model the harder is the ‘understanding of its output’. Hence higher risks or wrong results.
* Top scientists believe General …
architectures data deeplearning example general general ai human human intelligence intelligence large models network neural network risks scientists understanding world yann lecun
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