Wow, what a month... ICYMI, here are the top moments from the conversations I had with my podcast guests in July:
AI-lab director Lilith Bat-Leah on why data-centric machine learning research (DMLR) is the future of AI.
Prolific author and speaker Sinan Ozdemir (last week in San Francisco, I witnessed him deliver the *best* talk I've ever seen) on whether we can trust LLM benchmarks.
Bloomberg's Dr. Sebastian Gehrmann on why generic LLMs fail in regulated industries like finance and healthcare.
AI entrepreneur Dr. Zohar Bronfman on how AI can predict what you'll do next... before you're even consciously aware of your decision.
Microsoft AI researcher Dr. Robert Osazuwa Ness with step-by-step guidance on how to build causal AI models using PyTorch.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.