This one was really interesting for me personally as my experience with code generation is limited, but the spectre of LLMs seems to haunt any current conversation about AutoML.
It's also a companion to last month's about foundation for optimization. Give that a listen if you haven't already!
A spooky AutoML podcast? Easy, let's talk about LLMs doing end-to-end ML out of the box! 👻🪓🪦
Roberta Raileanu and Deepak Nathani discuss their MLGym benchmark, how good code generation for AutoML is currently and what that means for AutoML research.
After far too long, a new episode! We're doing a mini-series on AutoML & Foundation Models, kicking off with Richard Song on foundation models for black box optimization.
automlpodcast.com/episode/leve...
What does AutoML look like in the wild? 🤔
Oscar Bejibom from Nyckel talks about what's important in their AutoML service, his view on the research landscape and more!
automlpodcast.com/episode/nyck...
In our latest episode, Colin White tells us all about Neural Architecture Search: its origins, common methods and how it fits into the age of LLMs: automlpodcast.com/episode/neur...
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Hello bluesky! We'll update new episodes of the AutoML Podcast on this page. Follow to stay up to date with the latest content! #automl #ml
