Join us for an enlightening session on “GenAI & LLMs for NLP Tasks: Summarization, Content Creation, Data Extraction, and Q&A.” Explore how Generative AI and Large Language Models handle key NLP tasks such as summarizing text, creating high-quality content, extracting structured information, and answering queries with accuracy and context awareness. Whether you’re beginning your NLP journey or looking to advance your skills, this session will guide you in applying GenAI for smarter automation and powerful real-world language applications.

Webinar Registration

By submitting this form, you consent to our Terms of Use & Privacy Policy and to be contacted by us via Email/Call/Whatsapp/SMS.

Agenda for the session

  • How GenAI and LLMs enable summarization, data extraction & content creation
  • Understanding LLM capabilities & prompt techniques for accurate results
  • 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.

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program by MIT IDSS

The AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program by MIT IDSS has a curriculum carefully crafted by MIT faculty to provide you with the skills and knowledge to apply AI and data science techniques to help you make AI-driven decisions.

This AI and data science program has been designed for the needs of professionals looking to grow their careers and enhance their AI and data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems.