Neural Ordinary Differential Equations with David Duvenaud - #364

Neural Ordinary Differential Equations with David Duvenaud - #364

Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In our conversation, we talk through a few of David’s papers on the subject. We discuss the problem that David is trying to solve with this research, the potential that ODEs have to replace “the backbone” of the neural networks that are used to train today, and David’s approach to engineering.

Episoder(779)

Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697

Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697

Today, we're joined by Siddhika Nevrekar, AI Hub head at Qualcomm Technologies, to discuss on-device AI and how to make it easier for developers to take advantage of device capabilities. We unpack the...

12 Aug 202446min

Genie: Generative Interactive Environments with Ashley Edwards - #696

Genie: Generative Interactive Environments with Ashley Edwards - #696

Today, we're joined by Ashley Edwards, a member of technical staff at Runway, to discuss Genie: Generative Interactive Environments, a system for creating ‘playable’ video environments for training de...

5 Aug 202446min

Bridging the Sim2real Gap in Robotics with Marius Memmel - #695

Bridging the Sim2real Gap in Robotics with Marius Memmel - #695

Today, we're joined by Marius Memmel, a PhD student at the University of Washington, to discuss his research on sim-to-real transfer approaches for developing autonomous robotic agents in unstructured...

30 Jul 202457min

Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694

Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694

Today, we're joined by Hamel Husain, founder of Parlance Labs, to discuss the ins and outs of building real-world products using large language models (LLMs). We kick things off discussing novel appli...

23 Jul 20241h 20min

Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693

Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693

Today, we're joined by Albert Gu, assistant professor at Carnegie Mellon University, to discuss his research on post-transformer architectures for multi-modal foundation models, with a focus on state-...

17 Jul 202457min

Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692

Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692

Today, we're joined by Amir Bar, a PhD candidate at Tel Aviv University and UC Berkeley to discuss his research on visual-based learning, including his recent paper, “EgoPet: Egomotion and Interaction...

9 Jul 202443min

How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691

How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691

Today, we're joined by Sarah Bird, chief product officer of responsible AI at Microsoft. We discuss the testing and evaluation techniques Microsoft applies to ensure safe deployment and use of generat...

1 Jul 202457min

Long Context Language Models and their Biological Applications with Eric Nguyen - #690

Long Context Language Models and their Biological Applications with Eric Nguyen - #690

Today, we're joined by Eric Nguyen, PhD student at Stanford University. In our conversation, we explore his research on long context foundation models and their application to biology particularly Hye...

25 Jun 202445min

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