Exploring Scalability and Deployability of Generative AI Models

Generative AI, MLOps, and making smart investments in AI: This week’s 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:
• Venture capital’s role in the technology startup ecosystem [05:59]
• How RLHF helps UI become more intuitive [12:53]
• The four layers of the generative AI stack [34:16]
• The risks for generative AI business founders and investors [46:50]
• How MLOps drive best practices and help implementation [56:33]
• The importance of PLG (Product Lead Growth) [1:04:15]
• How generative AI tools will impact the labor market [1:17:34]

Additional materials: www.superdatascience.com/679