
businessJun 6, 202344:05pending
#50: Prompt Engineering Best Practices from OpenAI, How GPT-4 Could Reshape Healthcare, and The Hidden Costs of AI Adoption
About this episode
Thanks for joining us for episode 50! While AI breakthroughs slowed down this week, insights, best practices, and conversations continued. Paul Roetzer and Mike Kaput catch up on the artificial intelligence news impacting marketing and business leaders.
OpenAI dropped chat prompt suggestions
Logan Kilpatrick from OpenAI gave us helpful tips on crafting prompts. Quite simply (or so it seems), Kilpatrick offers six strategies for getting better results: write clear instructions, provide reference text, split complex tasks into simpler subtasks, give GPTs time to "think", use external tools, and test changes systematically. Is it that easy? What has OpenAI learned, and how can marketers follow these strategies while still differentiating themselves?
Could generative AI transform healthcare?
Could generative AI transform healthcare for the better? One expert thinks so. Dr. Robert M. Wachter, professor, and chair of the Department of Medicine at the University of California, San Francisco, outlines why in a new essay commissioned by Microsoft. In it, Dr. Wachter says he’s optimistic that generative AI systems like GPT-4 have the potential to reshape how healthcare works. This article caught Paul’s attention, and Paul and Mike break it down on the podcast, discussing not only marketing but also better patient outcomes and a reduction in healthcare costs.
High costs and AI adoption
According to a new report from The Information: “More than 600 of Microsoft’s largest customers, including Bank of America, Walmart, Ford, and Accenture, have been testing the AI features in its Microsoft Office 365 productivity apps, and at least 100 of the customers are paying a flat fee of $100,000 for up to 1,000 users for one year, according to a person with direct knowledge of the pilot program.” The proposed pricing models for AI features will impact business leaders' decision-making regarding AI adoption, especially small businesses.
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