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Lukas Biewald
Gradient Dissent
A Machine Learning Podcast by W&B
Brought to you by the folks at Weights & Biases, Gradient Dissent is a weekly machine learning podcast that takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at Facebook, Google, Lyft, OpenAI, Salesforce, iRobot, Stanford and more.
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Ratings & Reviews
4.8 stars from 23 ratings
Always learning new things
Where rubber meets the road. That is what this podcast is all about. It shares very notable and relevant ML/AI real life situations with many lessons learned.
humblylearning via Apple Podcasts · United States of America · 05/24/21
Great host and guests
I like the way Lukas host his podcasts. Also, he invites guests who are best in the industry.
bulbul ahmmed via Apple Podcasts · United States of America · 05/08/21
Finally a top quality machine learning podcast! I just binge-listened to half the episodes and will probably listen to them a second time after. The host’s genuine energy and enthusiasm is really nice to hear. My favourite parts are when the interviewees are like “....but maybe let’s not go there...Read full review »
ep350 via Apple Podcasts · Japan · 03/02/21
Recent Episodes
Clem explains the virtuous cycles behind the creation and success of Hugging Face, and shares his thoughts on where NLP is heading. --- Clément Delangue is co-founder and CEO of Hugging Face, the AI community building the future. Hugging Face started as an open source NLP library and has...
Published 06/10/21
Wojciech joins us to talk the principles behind OpenAI, the Fermi Paradox, and the future stages of developments in AGI. --- Wojciech Zaremba is a co-founder of OpenAI, a research company dedicated to discovering and enacting the path to safe artificial general intelligence. He was also Head of...
Published 06/03/21
Phil shares some of the approaches, like sparsity and low precision, behind the breakthrough performance of Graphcore's Intelligence Processing Units (IPUs). --- Phil Brown leads the Applications team at Graphcore, where they're building high-performance machine learning applications for their...
Published 05/27/21
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