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The AutoML Podcast

The AutoML Podcast

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 A show about the science and engineering behind AutoML.© 2026 The AutoML Podcast
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  • MLGym: A New Framework and Benchmark for Advancing AI Research Agents

    MLGym: A New Framework and Benchmark for Advancing AI Research Agents
    Oct 31 2025

    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 are doing at solving ML tasks, what the biggest roadblocks are, and what that means for AutoML generally.


    Check out the paper: https://arxiv.org/pdf/2502.14499

    More on Roberta: https://rraileanu.github.io/

    More on Deepak: https://dnathani.net/
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    1 h et 29 min
  • Leverage Foundational Models for Black-Box Optimization

    Leverage Foundational Models for Black-Box Optimization
    Sep 22 2025

    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 leveraging foundation models for optimization, we chat about what makes foundation models valuable for AutoML, how the next steps could look like, but also why the community is not currently embracing the topic as much as it could.


    Paper Link: https://arxiv.org/abs/2405.03547

    Richard's website: https://xingyousong.github.io/
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    57 min
  • Nyckel - Building an AutoML Startup

    Nyckel - Building an AutoML Startup
    Mar 7 2025

    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 truly matters in application and more.

    Check out Nyckel at: https://www.nyckel.com/
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    1 h et 21 min
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