This session delves into text-to-label generation as a Generative AI problem, focusing on auto-labelling 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. Anuj Saini
AI Research Scholar
Anuj Saini is an NLP and Generative AI expert specializing in Large Language Models (LLMs) and advanced AI applications. With experience across e-commerce, investment banking, and insurance, he excels in developing AI-driven chatbots, recommender systems, and sentiment analysis solutions. Proficient in cutting-edge technologies like ChatGPT, LangChain, and HuggingFace, Anuj is a leader in building innovative, LLM-powered applications.
