Join our session on “GenAI LLMs for NLP Tasks: Summarization, Content Creation, Data Extraction, Q&A” to understand how large language models can be applied to solve real-world NLP use cases. Learn how to leverage LLMs for tasks like generating content, extracting insights from data, answering questions, and summarizing information effectively. Whether you’re exploring LLMs for the first time or looking to enhance your application skills, this session will provide practical insights to help you work more efficiently with modern AI systems.
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 and Senior Manager of Data Science at CarMax, with prior experience at Meta, The Walt Disney Studios, and Twentieth Century Fox. He specializes in applying AI, NLP, and analytics to drive business impact, with strong expertise in leveraging GenAI and LLMs for tasks such as summarization, content creation, data extraction, and question answering.
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.
