Saturday, June 10, 2023, 11am – 2pm
Daphne Ippolito is an assistant professor in the Language Technologies Institute at CMU. Before joining the CMU community, she completed her Ph.D. at the University of Pennsylvania in LLMs, specifically in the area of language generation. She is also a research scientist at Google. Her interests include the properties of generative language models for text and the challenges of automatically generating narratives that are simultaneously coherent and interesting. She also looks at ways human writers can use generative text models as creative tools.
In the first half of the Generative AI tutorial, you will learn about the building blocks of modern neural language models and text-to-image diffusion models. We will go over the terminology commonly seen in technical discussions of these models, and we will describe step-by-step how they turn your input prompt into generated text or images. We will also discuss the key differences between popular models, and why you might choose one or another.
In the second half of the tutorial, you will complete a guided exercise to build a basic application using these models. The practical portion of the tutorial will assume competency in Python and access to a Python development environment, such as Google Colab.
⇒ The tutorial will be three hours long and take place remotely over Zoom.
⇒ This is the first of three tutorials Dr. Ippolito will present on June 10, 18 and July 18.
Learn more about the Generative AI Innovation Incubator.
REGISTER → Registration is required, but there is no fee to register and attend.
Event Type: Conference/Workshop
In Person: No
Remote: Yes
Room Number: Virtual Presentation - ET
Building: Remote Access - Zoom
Speaker's Name: DAPHNE IPPOLITO
Speaker Website: daphnei.com
Speaker's Professional Title: Assistant Professor, Language Technologies Institute, Carnegie Mellon University
Talk Title: Tutorial One
For More Information: llmhackathon2023@cs.cmu.edu
Affiliations: Carnegie Mellon University, Computational Biology Department (CBD), Computer Science Department (CSD), Language Technologies Institute (LTI), Machine Learning Department (MLD), Software and Societal Systems Department (S3D)
Event Website Title: Series Website
Event Website URL: www.cs.cmu.edu…