Recently, I participated in Dr. Christina Yan’s webinar on Quantum Generative AI or QGAI. Lofty topics to be sure, but one that is coming ever closer. I’ve been thinking about the combination of these two technologies for awhile. In fact, one of my first substack topics focused on the intersection of quantum and artificial intelligence back in October 2022.
Introduction
Generative AI (or GenAI) is a subset of artificial intelligence that focuses on generating new data, typically in the form of images, videos, or text. Gen AI has emerged as a powerful tool for creating novel content in various fields, from music and art to language and gaming. This technology has the potential to transform the way we create and consume content, by automating the creative process and allowing for the generation of new and unique content on a massive scale. Here in Part 1, I’ll examine the principles behind generative AI, the different models used in its implementation, and its applications in various fields. In Part 2, I’ll cover mistakes, bloopers and realities of Gen AI. In Parts 3 and 4, I’ll move into how business might consider this duo for the future.
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