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,CoT approaches with demos
- Use no-code platforms to build efficient classification pipelines
About Speakers

Mr. Nitin Agarwal
Principal Data Scientist
A Principal Data Scientist at Toast with 13+ years of experience in AI, ML, and data analytics. A published researcher and mentor, he specializes in generative AI and LLMs, developing innovative, data-driven solutions across industries.