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.

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The Evolution of Evolutionary AI with Risto Miikkulainen - #367

The Evolution of Evolutionary AI with Risto Miikkulainen - #367

Today we’re joined by Risto Miikkulainen, Associate VP of Evolutionary AI at Cognizant AI. Risto joined us back on episode #47 to discuss evolutionary algorithms, and today we get an update on the lat...

20 Apr 202037min

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Today we’re super excited to share our recent conversation with Quoc Le, a research scientist at Google. Quoc joins us to discuss his work on Google’s AutoML Zero, semi-supervised learning, and the de...

16 Apr 202054min

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365

Today we’re joined by return guest Karim Beguir, Co-Founder and CEO of InstaDeep. In our conversation, we chat with Karim about InstaDeep’s new offering, DeepPCB, an end-to-end platform for automated ...

13 Apr 202035min

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...

9 Apr 202049min

The Measure and Mismeasure of Fairness with Sharad Goel - #363

The Measure and Mismeasure of Fairness with Sharad Goel - #363

Today we’re joined by Sharad Goel, Assistant Professor at Stanford. Sharad, who also has appointments in the computer science, sociology, and law departments, has spent recent years focused on applyin...

6 Apr 202048min

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Today we’re joined by Cathy Wu, Assistant Professor at MIT. We had the pleasure of catching up with Cathy to discuss her work applying RL to mixed autonomy traffic, specifically, understanding the pot...

2 Apr 202035min

Consciousness and COVID-19 with Yoshua Bengio - #361

Consciousness and COVID-19 with Yoshua Bengio - #361

Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio, Professor at the University of Montreal and the Founder and Scientific Director of MILA. We caught u...

30 Mars 202049min

Geometry-Aware Neural Rendering with Josh Tobin - #360

Geometry-Aware Neural Rendering with Josh Tobin - #360

Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning. We had the pleasure of sitting down with Josh prior to his presentation of his paper G...

26 Mars 202026min

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