GenAI - Beyond the Hype: Unleashing Untapped Potential

In a recent presentation at MachineCon 2023, Peeyush Dubey from TheMathCompany (MathCo) discussed the untapped potential of Generative AI (GenAI) and how it can be harnessed beyond the hype. He provided insights into the value chain, use cases, potential pitfalls, and accelerators of GenAI, offering a comprehensive overview of the current state of this technology.

The AI Opportunity

Dubey began by discussing the AI opportunity, emphasizing how AI is gradually outperforming human capabilities in various fields. He highlighted the potential of AI in enterprise settings, where it can be used to enhance operations across all sectors. The goal, according to Dubey, is to reach a point where AI performs better than humans in every organization, industry, and enterprise.

Understanding GenAI

Dubey used Gartner's definition to explain GenAI, describing it as a set of technologies that generate data, images, videos, or any other kind of data. He further explained the concept of large language models (LLMs), which use vast amounts of textual data to generate original artifacts. A subset of these LLMs, such as ChatGPT, is used for conversational purposes.

The Value Chain

The value chain of GenAI, as explained by Dubey, starts with hardware, typically provided by Nvidia, due to the high computing power required by these applications. This is followed by cloud platforms, closed-source models like OpenAI, open-source models like Dolly, and application enablers that form an abstraction layer on top of these models. Enterprises can then create their workflows using these enablers.