In today’s fast-paced tech landscape, many organisations aim to enhance device intelligence and responsiveness. This presentation highlights the crucial role of Small Language Models (SLM) in solving business problems and improving device capabilities. By fine-tuning SLM, you can achieve optimal performance and adaptability.

We will compare SLM with Large Language Models (LLM), showing why SLM is better suited for organisation’s needs. The importance of customization in fine-tuning these models will be emphasized. A key focus will be on deploying these models on edge devices for real-time processing and decision-making, boosting device intelligence and positioning your organisation as an innovation leader.

The presentation will provide a roadmap for implementation, from cloud development to deployment across platforms. Using Azure, organisations can ensure seamless integration and IP ownership, gaining a competitive edge.

Discover how your organisation can leverage SLM to revolutionize its devices and lead in intelligent technology.

To close, we’ll discuss how Microsoft's Student Ambassador Program empowers students to bridge academia and industry by fostering innovation and skill-building within the tech community. Through this program, we aim to inspire the next generation of tech leaders to advance intelligent technology solutions in real-world applications.