AutoML Podcast

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!

MLGym: A New Framework and Benchmark for Advancing AI Research Agents AutoML is dead an LLMs have killed it? MLGym is a benchmark and framework testing this theory. Roberta Raileanu and Deepak Nathani discuss how well current LLMs...

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.

Leverage Foundational Models for Black-Box Optimization Where and how can we use foundation models in AutoML? Richard Song, researcher at Google DeepMind, has some answers. Starting off from his position paper on...

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...

Nyckel - Building an AutoML Startup Oscar Beijbom is talking about what it's like to run an AutoML startup: Nyckel. Beyond that, we chat about the differences between academia and industry,...

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...

Neural Architecture Search: Insights from 1000 Papers Colin White, head of research at Abacus AI, takes us on a tour of Neural Architecture Search: its origins, important paradigms and the future of NAS in the age...

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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