XGBoost, every mention

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every year anyone Thomas Scialom 1Mikhail Parakhin 1Jason Liu 1Akshat Bubna 1

Verbatim, from the transcripts: the passages where XGBoost comes up

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The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO Jul 8, 2026 · 1 mention

  • ▶ 3:24 Akshat Bubna Back then it was more classical inference, like computer vision stuff and running XGBoost and whatnot.

AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin Apr 22, 2026 · 1 mention

  • ▶ 30:56 Mikhail Parakhin Uh, you know, like you can grab, uh, XGBoost and you can grab some, some PyTorch module and then grab some, you know, Grap and other tools and combine them.

Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI Jul 23, 2024 · 1 mention

  • ▶ 1:16 Thomas Scialom I did first some training, like six months degree, executive degree, at the end of which I knew, like, what, XGBoost at the time, and nothing about deep learning at all.

High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor Apr 24, 2024 · 1 mention

  • ▶ 19:58 Jason Liu You could just say, well, given the embeddings of my search query and the embeddings of the description, I can just train XGBoost and just make sure that I have very high, like, MRR, which is like mean reciprocal rank.
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