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
Angel Das
Senior Consultant, IQVIA Asia Pacific
Angel Das is an advanced analytics professional who helps companies find solutions for various problems through a mix of business, technology, and math on organizational data. He has experience establishing relationships with Fortune 500 clients in a white box and collaborative manner to improve the art of problem-solving for constantly shifting and ill-defined business problem.
MIT Professional Education's Applied AI and Data Science Program
The Applied AI and Data Science Program , offered by MIT Professional Education, provides a structured path from data fundamentals and Machine Learning models to Generative AI, Agentic AI, and multi-agent workflows using LangGraph, RAG, n8n, and Claude. The program is designed for experienced technology professionals who want to build and evaluate AI systems for their organizations, as well as for professionals looking to transition into high-growth data and AI roles.
