Generative AI has been not only the underpinning but also the steering factor as AI advances from auto-pilot mode to co-pilot mode—in the role of an advisor, therapeutic assistant, or coach, working with us as our companion, co-creating, crafting, and collaborating with us seamlessly in an equal partnership.
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Thanks to the AI-infused breakthrough and trailblazing advancements, the race to AI supremacy has gained unprecedented steam. Amidst all the expanding dimensions and evolving developments in this arena, Generative AI has emerged as the most potent technology in the digital arsenal.
Its accelerated adoption, scores of use cases and ubiquity permeating across the spectrum of industries have been underpinning the watershed moment we are witnessing in AI history. Upon its launch, ChatGPT—an application of Generative AI-based Large Language Models—took just a couple of months to garner 100 million user bases. A remarkable record compared to most of the present-day popular social networking/messaging apps. Generative AI, in its present state, has traversed a long way to represent the crossing of a Rubicon. Flipping through the pages of its chronicle, the first exploration and experiments with Generative AI date to the mid-1960s when Joseph Weizenbaum programmed 'Eliza', a chatbot intended to act as a psychotherapist. However, it was not until 2014 that it started capturing people's imagination and attention when Ian Goodfellow introduced Generative Adversarial Network (GAN)—a Generator and Discriminator based Deep Learning model.
[This article has been published with permission from IIM Bangalore. www.iimb.ac.in Views expressed are personal.]