What are "code nodes" and "RAG DAGs"? Listen to today's episode with the highly technical (but also highly hilarious) Dr. Greg Michaelson to get a glimpse into the future of data science and A.I. model development.
Greg:
Is a Co-Founder of Zerve AI, a super-cool platform for developing and delivering A.I. products that launched to the public on this very podcast a little over a year ago.
Previously spent 7 years as DataRobot’s Chief Customer Officer and 4 years as Senior Director of Analytics & Research for Travelers.
Was a baptist pastor while he obtained his PhD in Applied Statistics!
Today’s episode is on the technical side and so will appeal most to hands-on practitioners like data scientists, AI/ML engineers and software developers… but Greg is such an engaging communicator that anyone interested in how the practice of data science is rapidly being revolutionized may enjoy today’s episode.
In it, Greg details:
How Zerve's collaborative, graph-based coding environment has matured over the past year, including their revolutionary 'Fleet' feature (in beta) that allows massive parallelization of code execution without additional cost.
How AI assistants are changing the coding experience by helping build, edit, and connect your data science projects.
Why the rise of LLMs might spell trouble for many SaaS businesses as building in-house solutions becomes increasingly viable.
The innovative ways companies are using retrieval-augmented generation (RAG) to create more powerful A.I. applications.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.