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…

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…