Navigating AI Challenges: Engineers vs. Data Scientists

Part 2 of our podcast feed swap weekend! Check out Cognitive Revolution as well.

"Data" Dan Whitenack has been co-host of the Practical AI podcast for the past 5 years, covering full journey of the modern AI wave post Transformers.

He joined us in studio to talk about their origin story and highlight key learnings from past episodes, riff on the AI trends we are all seeing as AI practitioner-podcasters, and his passion for low-resource-everything!

Subscribe on the Changelog, RSS, Apple Podcasts, Twitter, Mastodon, and wherever fine podcasts are sold!

Show notes

* Daniel Whitenack – Twitter, GitHub, Website

* Featured Latent Space episodes:

* Benchmarks

* Reza Shabani

* MosaicML and MPT

* Segment Anything

* Mike Conover

* Featured Practical AI episodes:

* From notebooks to Netflix scale with Metaflow

* Capabilities of LLMs 🤯

* ML at small organizations

* Prediction Guard

* Data Dan

Timestamps

* 00:00 Welcome to Practical AI

* 01:16 Latent Space Podcast

* 04:00 Practical AI Podcast

* 06:20 Prediction Guard

* 08:05 Daniel's favorite episodes

* 10:21 Alessio's favorite episode

* 10:54 Swyx's favorite episode

* 12:44 Listener favorites

* 15:14 LLMOps

* 17:06 Reza Shabani

* 19:06 Benchmarks 101

* 20:06 Roboflow

* 21:38 Mode collapse

* 26:21 Rajiv Shah

* 28:01 Staying on top of things

* 33:11 Kirsten Lum

* 34:31 datadan.io

* 38:48 Prompt engineering

* 40:38 Unique challenges engineers face

* 42:51 AI-UX

* 45:31 NLP data sets

* 50:49 Unlabeled data sets

* 55:07 Lightning round!

* 55:20 What's already happened in AI?

* 56:27 Unsolved questions in AI

* 58:01 Get hands on

* 58:53 Outro

Transcript

Full transcript is over at the Changelog site!