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.

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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 Engineer - 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

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