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Generative AI, MLOps, and making smart investments in AI: This week\u2019s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 Venture capital\u2019s role in the technology startup ecosystem [05:59]\u2022 How RLHF helps UI become more intuitive [12:53]\u2022 The four layers of the generative AI stack [34:16]\u2022 The risks for generative AI business founders and investors [46:50]\u2022 How MLOps drive best practices and help implementation [56:33]\u2022 The importance of PLG (Product Lead Growth) [1:04:15]\u2022 How generative AI tools will impact the labor market [1:17:34]Additional materials: www.superdatascience.com/679