Predict-GPT: A Small Step Towards AGI


In this keynote, Ted Kwartler will discuss the connections between brain regions responsible for various tasks such as executive functioning, language processing, and prediction-making. Drawing on his extensive experience as a Field CTO at DataRobot and instructor at the Harvard University Extension School, Kwartler will present a novel approach for flexible, forward-thinking GPT workflows called predict-GPT. This approach combines LLMs, auto-GPT, Langchain and auto-ML to create a system capable of dynamic, and adaptable predictions. Attendees of this session will gain insights on how to design and implement this workflow themselves and how it may be a catalyst towards realizing AGI.


Ted Kwartler is the Field CTO at DataRobot. Ted sets product strategy for explainable and ethical uses of data technology. Ted brings unique insights and experience utilizing data, business acumen and ethics to his current and previous positions at Liberty Mutual Insurance and Amazon. In addition to having 4 DataCamp courses, he teaches graduate courses at the Harvard Extension School and is the author of “Text Mining in Practice with R.” Ted is an advisor to the US Government Bureau of Economic Affairs, sitting on a Congressionally mandated committee called the “Advisory Committee for Data for Evidence Building” advocating for data-driven policies.

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