Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Today we’re joined by Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. Most folks know Bryan as one of the founders/creators of cuDNN, the accelerated library for deep neural networks. In our conversation, we explore his interest in high-performance computing and its recent overlap with AI, his current work on Megatron, a framework for training giant language models, and the basic approach for distributing a large language model on DGX infrastructure. We also discuss the three different kinds of parallelism, tensor parallelism, pipeline parallelism, and data parallelism, that Megatron provides when training models, as well as his work on the Deep Learning Super Sampling project and the role it's playing in the present and future of game development via ray tracing. The complete show notes for this episode can be found at twimlai.com/go/507.

Jaksot(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 Elo 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 Elo 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 Heinä 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 Heinä 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 Heinä 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 Heinä 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 Heinä 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 Kesä 202445min

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