Llama 2 & 3 Safety: Soumya Batra on Agentic AI Training

The Data Engineering Show by The Data Bros

Apr 8, 202622:30Technology

What if the expertise that built foundation models could reshape how you think about AI's future? In this episode, Benjamin sits down with Soumya Batra, founder and CEO of WisePort AI and former safety lead on Llama 2 an...

Related Episodes

Continue listening to more episodes from The Data Engineering Show.

How AI Is Reshaping Modern Data Teams and the Future of Platforms with Xavier Gumara Rigol

Aug 18, 2026 - 17:30

What if AI could transform how your entire data team works—without replacing them? In this episode, Benja...

Building Modern Data Platforms Without Legacy Bottlenecks ft Andrew Jones

Aug 6, 2026 - 19:51

What if you could transform your data team from a bottleneck into a self-serve platform that empowers the...

Why 99% of BI Tools Get Embedded Analytics Wrong And How Omni Fixed It ft. Chris Merrick

Jul 21, 2026 - 20:55

What if the future of analytics wasn't about building another middleware layer, but about getting closer...

AI for Data and Data for AI: The Dual Frontier of Modern Data Engineering with Pranav Motarwar

Jun 16, 2026 - 19:47

What if the data engineering skills you have today become obsolete in five years? In this episode, host B...

AI Won't Replace Engineers, But This Framework Will Change How They Build with Rohit Girme

May 7, 2026 - 18:15

What if you could build AI features with confidence while moving at the pace of innovation? In this episo...

The Framework Canva Uses for 200M+ Designers with Paul Tune

Apr 28, 2026 - 22:09

In this episode of The Data Engineering Show, Benjamin sits down with Paul Tune, Staff Research Scientist...

The Data Fusion Secret & Why Custom Query Engines Fail with Nikita Lapkov

Mar 24, 2026 - 18:11

What if building a distributed SQL engine meant rethinking everything about how query execution works at...

How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha

Mar 10, 2026 - 24:18

What if you could deploy ML features and real-time data pipelines without building complex infrastructure...