Much has been said about GPT-3 already.
With its 175 billion parameters and a massive corpus of data on which it is trained – GPT-3 is already enabling some innovative applications
But GPT-3 could help pave the way for a new way of developing AI models
The GPT-3 paper is called…
ContinueAdded by ajit jaokar on November 30, 2020 at 12:00pm — No Comments
Added by ajit jaokar on November 23, 2020 at 12:46pm — 3 Comments
I am reading a very interesting paper called Principles and Practice of Explainable Machine Learning by
Vaishak Belle (University of Edinburgh & Alan Turing Institute) and Ioannis Papantonis (University of Edinburgh) which presents a taxonomy of explainable AI (XAI).
XAI is a complex subject…
ContinueAdded by ajit jaokar on November 6, 2020 at 2:00pm — No Comments
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