Episode 22: LLMs, OpenAI, and the Existential Crisis for Machine Learning Engineering

Vanishing Gradients

Hugo Bowne-Anderson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Hugo Bowne-Anderson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2y ago 1:20:07

MP3•에피소드 홈

Jeremy Howard (Fast.ai), Shreya Shankar (UC Berkeley), and Hamel Husain (Parlance Labs) join Hugo Bowne-Anderson to talk about how LLMs and OpenAI are changing the worlds of data science, machine learning, and machine learning engineering.

Jeremy Howard is co-founder of fast.ai, an ex-Chief Scientist at Kaggle, and creator of the ULMFiT approach on which all modern language models are based. Shreya Shankar is at UC Berkeley, ex Google brain, Facebook, and Viaduct. Hamel Husain has his own generative AI and LLM consultancy Parlance Labs and was previously at Outerbounds, Github, and Airbnb.

They talk about

How LLMs shift the nature of the work we do in DS and ML,
How they change the tools we use,
The ways in which they could displace the role of traditional ML (e.g. will we stop using xgboost any time soon?),
How to navigate all the new tools and techniques,
The trade-offs between open and closed models,
Reactions to the recent Open Developer Day and the increasing existential crisis for ML.

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