Webinar Information

"LLMs & Generative AI in Editorial Content Creation & Media" will be hosted by Arthur's co-founder and Chief Scientist John Dickerson. This event will be livestreamed on Zoom starting on Tuesday, January 23, 2024 at 1:00 PM ET.

 

Event Description:

Large language models (LLMs) and other forms of generative AI are being used in the media and in editorial content creation. In this webinar, we'll cover some of what we're seeing in this space, including use cases and pricing. We'll also overview some open areas in this space such as watermarking, generated content detection, long context windows to ingest long-form documents, and some current legal challenges.

 

You'll walk away from this session with an understanding of:

  • The ways in which generative AI and LLMs are being used in editorial and creative content generation
  • Ethical considerations and challenges with generative AI and LLMs
  • The current frontier of LLMs including watermarking, long context windows, and legal challenges
  • Predictions for the short-term future based on what we're seeing in the current market

Presenter Information

In addition to being Arthur's co-founder and Chief Scientist, John Dickerson is an Associate Professor of Computer Science at the University of Maryland. He works at the intersection of machine learning and economics, with a focus on designing incentives that promote "good" participation in complex systems.

His research centers on solving practical economic problems using techniques from computer science, stochastic optimization, and machine learning. He received his PhD in computer science from Carnegie Mellon University (SCS CSD PhD '16). Learn more about John here.

About Arthur

Arthur is the AI performance company. Our platform monitors, measures, and improves machine learning models to deliver better results. We help data scientists, product owners, and business leaders accelerate model operations and optimize for accuracy, explainability, and fairness.

Arthur’s research-led approach to product development drives exclusive capabilities in LLMs, computer vision, NLP, bias mitigation, and other critical areas. We’re on a mission to make AI work for everyone, and we are deeply passionate about building ML technology to drive responsible business results.

Most recently, we launched Arthur Shield, the first firewall for LLMs, as well as Arthur Bench, the most robust way to evaluate LLMs.

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