Responsible AI in the Generative Era with Michael Kearns - #662

Responsible AI in the Generative Era with Michael Kearns - #662

Today we’re joined by Michael Kearns, professor in the Department of Computer and Information Science at the University of Pennsylvania and an Amazon scholar. In our conversation with Michael, we discuss the new challenges to responsible AI brought about by the generative AI era. We explore Michael’s learnings and insights from the intersection of his real-world experience at AWS and his work in academia. We cover a diverse range of topics under this banner, including service card metrics, privacy, hallucinations, RLHF, and LLM evaluation benchmarks. We also touch on Clean Rooms ML, a secured environment that balances accessibility to private datasets through differential privacy techniques, offering a new approach for secure data handling in machine learning. The complete show notes for this episode can be found at twimlai.com/go/662.

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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...

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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...

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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...

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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...

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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-...

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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 Juli 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 Juli 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 Juni 202445min

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