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)

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

Today we’re kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machi...

14 Des 202048min

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Today we’re joined by Subarna Sinha, Machine Learning Engineering Leader at 23andMe. 23andMe handles a massive amount of genomic data every year from its core ancestry business but also uses that dat...

11 Des 202039min

Scaling Video AI at RTL with Daan Odijk - #435

Scaling Video AI at RTL with Daan Odijk - #435

Today we’re joined by Daan Odijk, Data Science Manager at RTL. In our conversation with Daan, we explore the RTL MLOps journey, and their need to put platform infrastructure in place for ad optimizat...

9 Des 202040min

Benchmarking ML with MLCommons w/ Peter Mattson - #434

Benchmarking ML with MLCommons w/ Peter Mattson - #434

Today we’re joined by Peter Mattson, General Chair at MLPerf, a Staff Engineer at Google, and President of MLCommons.  In our conversation with Peter, we discuss MLCommons and MLPerf, the former an o...

7 Des 202046min

Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Today we’re joined by Charlene Chambliss, Machine Learning Engineer at Primer AI.  Charlene, who we also had the pleasure of hosting at NLP Office Hours during TWIMLfest, is back to share some of the...

3 Des 202045min

Feature Stores for Accelerating AI Development - #432

Feature Stores for Accelerating AI Development - #432

In this special episode of the podcast, we're joined by Kevin Stumpf, Co-Founder and CTO of Tecton, Willem Pienaar, an engineering lead at Gojek and founder of the Feast Project, and Maxime Beauchemin...

30 Nov 202056min

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

In this special edition of the podcast, we're joined by Shalini Kantayya, the director of Coded Bias, and Deb Raji and Meredith Broussard, who both contributed to the film. In this panel discussion, ...

27 Nov 20201h 24min

Common Sense as an Algorithmic Framework with Dileep George - #430

Common Sense as an Algorithmic Framework with Dileep George - #430

Today we’re joined by Dileep George, Founder and the CTO of Vicarious. Dileep, who was also a co-founder of Numenta, works at the intersection of AI research and neuroscience, and famously pioneered ...

23 Nov 202047min

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