879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson

Super Data Science: ML & AI Podcast with Jon Krohn

Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications.

Additional materials: www.superdatascience.com/879

This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA.

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• (04:00) Zerve’s latest features
• (35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry
• (40:54) How to get started with Zerve
• (41:49) Will LLMs make SaaS companies redundant?
• (52:29) How to create fairer and more transparent AI systems
• (56:07) The future of software developer workflows