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#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Machine Learning Street Talk (MLST)
Is in-Context Learning Really Powerful?
TAT-GBT is the first example of an AI which apparently can recognize abstract concepts like Christmas. It's trained with reinforcement learning from human feedback, right? So, it's trained from human preferences as well. We don't know what the limits of this approach are, and maybe there are many, many things that you can do with this. My point is that we need to think more about what the problem is, about what we want AI to do. And one of the points that I try to make in the book is that we needs better answers to those questions.
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