How LLMs Are Revolutionizing Recommendation Systems скачать в хорошем качестве

How LLMs Are Revolutionizing Recommendation Systems

Ask your questions using Slido: ​​​​​​https://app.sli.do/event/t89ceRXGycCH... Join the Data Phoenix Discord community:   / discord   ================================= Join us for an insightful presentation on how Large Language Models (LLMs) and Generative AI can revolutionize the quality of recommendations and personalization engines, creating enhanced experiences for customers. This talk will cover the extensive benefits of integrating LLMs into various components of recommender systems. ​​Key Highlights of the Webinar: ​​​​​​​​- Data Augmentation: Utilizing LLMs for a deeper understanding of items, enabling better recognition of similarities, complementary items, alternatives, and other cross-item relationships to improve matching with user needs. ​Image Analysis: Leveraging advanced techniques for a deeper understanding of images to enhance recommendations. ​Transformers in Customer Analysis: Applying transformer architectures for a profound comprehension of customer journeys, predicting and anticipating their needs more accurately. ​Enhanced Ranking: Improving item ranking and cross-domain recommendations through sophisticated models. ​User Interactions: Facilitating task-oriented and open-ended interactions between users and recommendation engines, aiding in better decision-making and conversions. ​Experience Sharing: We will share our experiences and insights from building superior recommender and personalization systems using Generative AI, highlighting practical implementations and outcomes. ​Speaker: ​Dr. Andrei Lopatenko is a seasoned expert and executive leader with over 15 years of experience in the tech industry, focusing on search engines, recommendation systems, and large-scale AI, ML, and NLP applications. He has contributed significantly to major companies like Google, Apple, Walmart, eBay, and Zillow, benefiting billions of customers. Dr. Lopatenko earned his PhD in Computer Science from the University of Manchester. He played a key role in developing Google's search engine, initiating Apple Maps, co-founding a Conversational AI startup acquired by Facebook/Meta, and leading Search, LLM, and Generative AI at Zillow.