Data Synthesis, Augmentation, and NLP Insights with LLMs


Data synthesis, augmentation, and NLP insights with LLMs offer a foundational approach to understanding and utilizing artificial intelligence in data science. This workshop is designed to guide participants through the process of creating synthetic data, enhancing datasets through augmentation, and applying NLP techniques to extract valuable insights. These skills are essential in various fields such as social media analysis, customer behavior studies, content generation, and more.

By participating in this workshop, you will learn how to generate realistic and functional synthetic data using LLMs. You will also explore methods to enrich this data and make it more applicable for real-world scenarios. Additionally, you will apply NLP techniques to synthesized and augmented data to uncover patterns, sentiments, and trends.

Session Outline:

Lesson 1: Data Synthesis with LLMs: Introduction to synthetic data. Generate synthetic dataset. Understand its applications and limitations.

Lesson 2: Enhancing Data through Augmentation: Build upon your synthetic data. Learn augmentation techniques to add depth and complexity to your datasets.

Lesson 3: Applying NLP Techniques for Insights: Use NLP methods on your synthetic and augmented data. Identify key insights and learn how to interpret these findings effectively.

Background Knowledge:

This workshop is beneficial for audiences of all levels. For newcomers, it offers a foundational understanding of key concepts in data generation and NLP using an approachable, hands-on methodology. Intermediate attendees will appreciate the practical applications of data augmentation techniques.


Tamilla Triantoro, Ph.D. is an Associate Professor in the School of Business at Quinnipiac University. She has directed graduate and undergraduate programs in Business Analytics at Quinnipiac University and the University of Connecticut. Her expertise includes Artificial Intelligence, Human-AI Collaboration, and the Future of Work. She has spoken about these topics in various parts of the world. and presented her work on six continents. With a Ph.D. from the City University of New York, where she researched online user behavior, Dr. Triantoro brings a deep understanding of the human element to her work.

Open Data Science




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