Join us for an insightful session on “GenAI LLMs for NLP Tasks: Summarization, Content Creation, Data Extraction, and Q&A.” Discover how large language models are transforming natural language processing by enabling powerful capabilities such as summarizing information, generating content, extracting structured data, and answering questions at scale. This session will walk you through practical use cases, real-world applications, and emerging trends, helping you understand how GenAI-powered LLMs are reshaping the way organizations process, analyze, and leverage language data.
Agenda for the session
- How GenAI and LLMs enable summarization, data extraction & content creation
- Understanding LLM capabilities & prompt techniques for accurate results
- Applied AI and Data Science Program
- Live Q&A
About Speakers
Mr. Matthew Nickens
Senior Manager, Data Science at CarMax
Matthew Nickens is a seasoned data science leader, currently Senior Manager of Data Science at CarMax, with prior roles at Meta, The Walt Disney Studios, and 20th Century Fox. He has built expertise in deploying AI and analytics to uncover insights from large datasets, drive content strategies, and enhance predictive capabilities. Skilled in working with models, optimization, and technical storytelling, Matthew bridges deep technical knowledge with business impact.
Applied AI and Data Science Program by MIT Professional Education
The Applied AI and Data Science Program curriculum has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of data science efforts at any organization.
