It has been really interesting to see how GPT-3 is bringing a new paradigm to Machine Learning. It is an incredibly compact representation on essentially all data in the internet.
#GPT3 #MachineLearning #AI
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#GPT3 #MachineLearning #AI
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But most interestingly, it operates in a different way. People aren't creating those amazing demos by fine-tuning the demos with their own data. No.
They are providing a few "priming" examples that "reconfigure" the model to that task right then and there.
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They are providing a few "priming" examples that "reconfigure" the model to that task right then and there.
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This is a great pattern matcher over all the internet's data so it essentially makes the model target the corresponding space of the inputs you provided it.
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This can bring a real paradigm shift to Machine Learning and, in particular, in how transformer models can be used by businesses.
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Moving to a Priming mentality rather than a Training mentality could open some new doors to businesses and hackers to use Machine Learning in completely new, innovative ways.
This is a great thread summarizing it as well: https://twitter.com/sh_reya/status/1284545976892403714
Thoughts?
5/5
This is a great thread summarizing it as well: https://twitter.com/sh_reya/status/1284545976892403714
Thoughts?
5/5