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(779)

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

Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564

Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564

Today we’re joined by Thomas Wolf, co-founder and chief science officer at Hugging Face 🤗. We cover a ton of ground In our conversation, starting with Thomas’ interesting backstory as a quantum physi...

21 Mar 202247min

Full-Stack AI Systems Development with Murali Akula - #563

Full-Stack AI Systems Development with Murali Akula - #563

Today we’re joined by Murali Akula, a Sr. director of Software Engineering at Qualcomm. In our conversation with Murali, we explore his role at Qualcomm, where he leads the corporate research team foc...

14 Mar 202244min

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