How a Data Scientist Used ChatGPT to Curate a Book Veritone Podcast

It’s bizarre to think we live in a world where you can implement AI to curate a book in all of eight hours. Yes, eight hours. Our guest today is William Steele , a Data Scientist at Maximus. He joins us to talk about how he came across OpenAI’s ChatGPT, a large language model chatbot, and the different uses it has. He discusses the process of using ChatGPT to curate a book and shares the different limitations and challenges experienced throughout the process. We also talk about the ethical considerations for authorship when using AI as part of the writing process, and how William used ChatGPT and AI Voice to create an audiobook. For all this, and more, tune in today! Veritone disclaims any responsibility for any statement of participants in the podcast. The views expressed in this podcast are those of the interviewee and do not necessarily reflect the views of Veritone or its directors, officers, or employees. Key Points From This Episode: William Steele, a Data Scientist at Maximus, discusses his experience using OpenAI's ChatGPT, a large language model chatbot. William explains how he used ChatGPT to curate a book in just eight hours. He also talks about the limitations and challenges he encountered while using ChatGPT for book curation. The episode also covers ethical considerations for authorship when using AI in the writing process. William also mentions that he used ChatGPT and AI Voice to create an audiobook. Links Mentioned in Today’s Episode: William Steele William Steele on Twitter William Steele on LinkedIn An AI System Wrote This Book: How Our World Was Changed Forever By Artificial Intelligence: Insights And Predictions Written By An Artificially Intelligent System E-book on YouTube OpenAI ChatGPT Adventures in AI Podcast Follow Veritone on Facebook , Instagram , LinkedIn , and Twitter !

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How a Data Scientist Used ChatGPT to Curate a Book Veritone Podcast is an episode from Adventures in AI - The Veritone Podcast by Veritone, Inc..

This episode is 27:06 long.

This episode was published on Jan 25, 2023.

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