As enterprises embrace Generative AI, a subtle shift is underway, where LLMs are giving way to their smaller and nimbler counterparts. Join Pierre and Swami as they introduce Small Language Models (SLMs) – a cost-effective alternative for business professionals that offers better data security, privacy, and accuracy. Based on real-life scenarios, they present an optimal SLM solution approach, the advantages driving their adoption, the key differences to LLMs, and how they can be orchestrated as part of powerful agentic AI solutions. With a collection of use cases, they show how business analysts can contribute their collective skills and knowledge to fine-tune the SLM continuously. Pierre and Swami also show how SLMs benefit business analysts – from improved requirement gathering to test case development, as well as better decision support and client interactions.

LEARNING OBJECTIVES

• Keeping abreast of current trends in Generative AI
• Understanding the unique benefits of Small Language Models
• Discovering where Small Language Models readily bring business value