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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Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala - TWiML Talk #70

Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala - TWiML Talk #70

This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a multi-disciplinar...

21 Nov 201742min

Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery

Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery

This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a multi-disciplinar...

20 Nov 201745min

Bridging the Gap Between Academic and Industry Careers with Ross Fadely - TWiML Talk #68

Bridging the Gap Between Academic and Industry Careers with Ross Fadely - TWiML Talk #68

We close out our NYU Future Labs AI Summit interview series with Ross Fadely, a New York based AI lead with Insight Data Science. Insight is an interesting company offering a free seven week post-doct...

16 Nov 201719min

The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67

The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67

We continue our NYU Future Labs AI Summit interview series with Dennis Mortensen, founder and CEO of X.ai, a company whose AI-based personal assistant Amy helps users with scheduling meetings. I caugh...

13 Nov 201735min

Nexus Lab Cohort 2 - Second Mind - TWiML Talk #66

Nexus Lab Cohort 2 - Second Mind - TWiML Talk #66

The podcast you’re about to hear is the fourth of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City. In this show, I speak with Kul Singh, CEO and Founder of Secon...

9 Nov 201721min

Nexus Lab Cohort 2 - Bite.ai - TWiML Talk #65

Nexus Lab Cohort 2 - Bite.ai - TWiML Talk #65

The podcast you’re about to hear is the second of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City.In this episode, you’ll hear from Bite.ai, a startup founded by...

8 Nov 201726min

Nexus Lab Cohort 2 - Bowtie - TWiML Talk #64

Nexus Lab Cohort 2 - Bowtie - TWiML Talk #64

The podcast you’re about to hear is the second of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City. In this episode, I speak with Ron Fisher and Mike Wang, who, a...

7 Nov 201725min

AI Nexus Lab Cohort 2 - Mt. Cleverest - TWiML Talk #63

AI Nexus Lab Cohort 2 - Mt. Cleverest - TWiML Talk #63

The podcast you’re about to hear is the first of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City. My guests this time around are James Villarrubia and Bernie Pra...

6 Nov 201732min

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