On this episode of the AAP Podcast, Chris Versace sits down with Christopher Savoie, the founder and CEO of Zapata AI. Zapata has been working with AI for industrial applications since 2017.  Savoie shares how his start in molecular biology and working with machine learnings for sequencing gave rise to the formation of Zapata and its use of rich analytics with real-time data and large language models to address customer-specific problems. The conversation turns to generative AI with Savoie explaining how it can drive productivity with diverse examples ranging from engineering and construction to financial products like annuities, and race car driving strategies. Versace and Savoie then discuss why generative AI is the latest in a line of tools like the Internet that will alter how we work, driving productivity along the way. Savoie also shares why GPT 4 may not be the product some are hoping it will be and why multiple, smaller language models working together, not one model “to rule them all”, will help companies address their specific problems and needs.

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