Shelby
Heinecke
Senior AI Research Manager
Salesforce
Dr. Shelby Heinecke is a Senior AI Research Manager at Salesforce. Shelby’s team develops cutting-edge AI for research and product, focusing on LLM-powered agents, on-device AI, LLMs, entity resolution, recommendation systems, and beyond. A leader in AI innovation, her team has generated more than 9 AI research publications, 4 open source libraries, 2 open source LLMs, and multiple product integrations in the past year alone. Prior to leading her team, Shelby was a Senior AI Research Scientist focusing on robust recommendation systems and productionizing AI models. Shelby earned her Ph.D. in Mathematics from University of Illinois at Chicago, specializing in machine learning. She also holds an M.S. in Mathematics from Northwestern and a B.S. in Mathematics from MIT. Website: www.shelbyh.ai
17 April 2024 11:00 - 11:30
What’s next in GenAI: Multi-agent systems, on-device AI, and beyond
In the past two years, we’ve witnessed a whirlwind of AI innovation, from breakthroughs in LLM performance, to the emergence of large multi-modal models (LMMs), to the development of retrieval augmented generation (RAG). And today, we are finally gaining some headway in productionizing these innovations - in fact, they are already powering high-value experiences for customers in nearly every industry. Yet AI innovation continues to accelerate. To continue to deliver value to customers and stay at the forefront, we must also look ahead at the latest AI research to understand what’s next. In this session, we will discuss two emerging directions in GenAI, multi-agent systems and on-device AI. We will discuss the latest techniques, challenges, and practical ways to get started.