Agenda

In this session, we’ll dive into the intricacies of Large Language Models (LLMs) within regulated industries. Our expert panel will discuss strategies for tuning LLMs to reduce misinterpretations and errors in conversational AI applications, emphasizing the necessity of precision in such sectors. They’ll explore the challenges and potential solutions organizations might encounter when transitioning from rules-based approaches to LLMs. Further, they will shed light on strategies to ensure LLMs’ compliance and predictability, given their capacity for creativity, and discuss how to manage data privacy concerns in LLM training. Finally, our panelists will delve into the role of data-centric approaches and programmatic labeling in aligning LLMs’ behavior with industry-specific requirements and ethical norms.