In an era where AI capabilities are expanding rapidly, enterprises are seeking efficient, cost-effective solutions that don’t compromise on performance. This session will explore the transformative potential of Small Language Models (SLMs), with a particular focus on IBM’s Granite family of models. Robbie Jerrom at Redhat will delve into the advantages of SLMs over their larger counterparts and demonstrate how fine-tuning these models with private data can lead to remarkable improvements in task-specific performance.

Attendees will come away with a comprehensive understanding of how to leverage SLMs to achieve high-performance AI solutions tailored to their specific business needs. Learn how to balance efficiency, cost, and performance while ensuring data privacy and model transparency.