11-03, 14:15–14:55 (America/New_York), Central Park West (Room 6501)
We take a deep dive into the world of generative AI models and their transformative applications in e-commerce, specifically focusing on the implementation of these models for tasks such as text generation, dynamic and personalized content creation and AI assistants.
We delve into the Python libraries and frameworks used, and how we've harnessed the power of large language models to develop real-time, contextually relevant and personalized content. We discuss the challenges of prompt approaches, retrieval augmented generation, synthetic data generation and curation, and fine tuning cutting edge LLM models. We also touch upon the challenges of maintaining conversational context and ensuring the generation of appropriate responses.
No previous knowledge expected
Kriti Kohli is a Senior Manager, Applied Machine Learning at Shopify. Kriti has over 10+ years of experience in enterprise applications of natural language processing, machine learning and time series forecasting models. Prior to joining Shopify, Kriti has held AI/ML leadership roles in AI centers-of-excellence organizations developing industry expertise in AI solutions for supply chain, finance, HR and hardware. Kriti earned a PhD in Physics from King’s College London and a B.S. degree from University of Notre Dame in Electrical Engineering. She has over 30+ publications and patents.