https://www.infoq.com InfoQ Large language models Presentations feed https://www.infoq.com/presentations/llm-personalization/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Large+language+models-presentations <img src="https://res.infoq.com/presentations/llm-personalization/en/mediumimage/Sudeep-Das-Pradeep-Muthukrishnan-medium-1776173227456.jpg"/><p>Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.</p> <i>By Sudeep Das, Pradeep Muthukrishnan</i> Transcripts Use Cases QCon San Francisco 2025 Large language models AI, ML & Data Engineering presentation Tue, 21 Apr 2026 10:35:00 GMT https://www.infoq.com/presentations/llm-personalization/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Large+language+models-presentations Sudeep Das, Pradeep Muthukrishnan 2026-04-21T10:35:00Z /presentations/llm-personalization/en