Speaker: Dr. Xinxin Zhu, Staff Data Scientist @ Warner Bros. Discovery
Title: “Closed Captioning with GenAI/LLMs”

Abstract: From converting audio to text to formatting text into blocks, closed caption generation involves handling text and languages. Current methods require a significant amount of manual labor. With the development of GenAI/LLMs, we explore how these models can reduce manual effort and save costs. This work focuses on leveraging GenAI/LLMs for closed caption generation through prompt engineering and few-shot learning.

Bio: Xinxin Zhu is a forward-thinking innovator with a strong blend of theoretical expertise and hands-on skills in ML/AI. With over 5 years of research and development experience in academic settings, coupled with a 10+ years long tenure spanning various industries, she has successfully implemented ML/AI solutions to address business challenges and drive revenue growth for companies.

The Applied Mathematics in Industry Seminar (AMIS) series is primarily focused on highlighting how mathematics is used in various careers and is geared toward undergraduates. Seminars typically require little or no advanced mathematical knowledge and are open to anyone.

This seminar will be held virtually. 

DIAL-IN INFORMATION
Stream Link
Passcode: Ami2024