In the enterprise, speed and reliability beat size every time. In this talk, I’ll share how my team at Salesforce has deployed lightweight models in our data platform, developed small action models, and built new enterprise-centric agent evaluations.
These projects highlight the lessons driving today’s deployments and the research laying the foundation for what’s next.
Dr. Shelby Heinecke leads an AI research team at Salesforce. Shelby’s team develops cutting-edge AI for product and research in emerging directions including autonomous agents, LLMs, and on-device AI. Some of her team's most notable agentic AI works include the open source multi-agent platform, AgentLite, and the "Tiny Giant", a competitive 1B model for function-calling.
Shelby earned her Ph.D. in Mathematics from University of Illinois at Chicago, specializing in machine learning theory. She also holds an M.S. in Mathematics from Northwestern and a B.S. in Mathematics from MIT. Website: www.shelbyh.ai