Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing that can evade object detection. In our conversation, we focus on his more recent research on watermarking LLM output. We explore the motivations behind adding these watermarks, how they work, and different ways a watermark could be deployed, as well as political and economic incentive structures around the adoption of watermarking and future directions for that line of work. We also discuss Tom’s research into data leakage, particularly in stable diffusion models, work that is analogous to recent guest Nicholas Carlini’s research into LLM data extraction.

Episoder(781)

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

Today we close out our coverage of the ICLR series joined by Meg Mitchell, chief ethics scientist and researcher at Hugging Face. In our conversation with Meg, we discuss her participation in the Wiki...

12 Mai 202241min

Studying Machine Intelligence with Been Kim - #571

Studying Machine Intelligence with Been Kim - #571

Today we continue our ICLR coverage joined by Been Kim, a staff research scientist at Google Brain, and an ICLR 2022 Invited Speaker. Been, whose research has historically been focused on interpretabi...

9 Mai 202252min

Advances in Neural Compression with Auke Wiggers - #570

Advances in Neural Compression with Auke Wiggers - #570

Today we’re joined by Auke Wiggers, an AI research scientist at Qualcomm. In our conversation with Auke, we discuss his team’s recent research on data compression using generative models. We discuss t...

2 Mai 202237min

Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

Today we’re joined by Irwan Bello, formerly a research scientist at Google Brain, and now on the founding team at a stealth AI startup. We begin our conversation with an exploration of Irwan’s recent ...

25 Apr 202246min

Daring to DAIR: Distributed AI Research with Timnit Gebru - #568

Daring to DAIR: Distributed AI Research with Timnit Gebru - #568

Today we’re joined by friend of the show Timnit Gebru, the founder and executive director of DAIR, the Distributed Artificial Intelligence Research Institute. In our conversation with Timnit, we discu...

18 Apr 202251min

Hierarchical and Continual RL with Doina Precup - #567

Hierarchical and Continual RL with Doina Precup - #567

Today we’re joined by Doina Precup, a research team lead at DeepMind Montreal, and a professor at McGill University. In our conversation with Doina, we discuss her recent research interests, including...

11 Apr 202250min

Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566

Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566

Today we’re joined by Bharath Ramsundar, founder and CEO of Deep Forest Sciences. In our conversation with Bharath, we explore his work on the DeepChem, an open-source library for drug discovery, mate...

4 Apr 202229min

Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565

Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565

Today we’re joined by Sebastian Raschka, an assistant professor at the University of Wisconsin-Madison and lead AI educator at Grid.ai. In our conversation with Sebastian, we explore his work around A...

28 Mar 202240min

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