This session delves into text-to-label generation as a Generative AI problem, focusing on auto-labeling and customer intent analysis in e-commerce. Through code-based and no-code solutions, you’ll learn to frame classification tasks, prepare data, and evaluate performance for practical business applications.
Agenda for the session
- Explore text classification use cases and task framing techniques
- Learn prompt engineering for structured and accurate outputs
- Compare zero-shot, few-shot, and CoT approaches with demos
- Use no-code platforms to build efficient classification pipelines
About Speakers

Mr. Vinicio De Sola
Senior AI Enginer - Newmark
- Specializes in Machine Learning Techniques and redeveloping models to include automation
- Studied Cryptocurrencies and Smart Beta Factors in the space
- Before switching to finance, was an entrepreneur in diverse areas like E-learning, E-commerce, and Engineering
- Mentor at Great Learning