Published Mar 30, 2023

Soumith Chintala: PyTorch

Soumith Chintala delves into the transformative journey of PyTorch, revealing innovations that distinguished it in the AI research community, while also sharing his vision for practical household robotics and offering insights into the changing dynamics and skepticism within academic institutions surrounding AI adoption.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Daniel Bashir

Soumith Chintala: PyTorch

Topics covered

Popular Clips

ML Framework Ecosystem

Evolution of ML Frameworks

Building Open Source Communities

Pytorch's Influences

Building Pytorch

PyTorch 2.0: Eager Mode and Compiler Innovations

Advancing Household Robotics

Building a Household Robot

Accidental AI Journey

ML Framework Vision

Exploring GANs

Pytorch Support

ML Framework Evolution

User Experience Insights

Framework Design Insights

Episode Highlights

Advancements in Robotics

Institutional Dynamics

ML Framework Evolution

Related Episodes

Hugo Larochelle: Deep Learning as Science

Some Changes at The Gradient

Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

François Chollet: Keras and Measures of Intelligence

Sasha Rush: Building Better NLP Systems

Thomas Dietterich: From the Foundations

Hello World from The Gradient Podcast!

Ben Wellington: ML for Finance and Storytelling through Data

Joel Lehman: Open-Endedness and Evolution through Large Models

Yoshua Bengio: The Past, Present, and Future of Deep Learning

Nicholas Thompson: AI and Journalism

Shreya Shankar: Machine Learning in the Real World

Yann LeCun on his Start in Research and Self-Supervised Learning

Chip Huyen: Machine Learning Tools and Systems

Suhail Doshi: The Future of Computer Vision

Soumith Chintala: PyTorch

Topics covered

Popular Clips

Episode Highlights

Advancements in RoboticsSoumith Chintala discusses his vision for household robotics, aiming to create affordable and practical robots for everyday chores. He collaborates with NYU to advance research, focusing on overcoming current technological limitations.

Advancements in Robotics

Institutional DynamicsSoumith Chintala explores the transition from skepticism to acceptance of AI methods within academic institutions. He shares insights on identifying fads in AI research and offers advice for aspiring machine learning practitioners.

Institutional Dynamics

ML Framework Evolution

Related Episodes