Despite their impressive capabilities, Large Language Models (LLMs) still struggle with tasks that require understanding simple, generalized concepts, things that come naturally to humans. In this talk, we’ll walk through real-world yet intuitive examples where even state-of-the-art LLMs fail to apply basic logic.

But there’s a silver lining: with minimal, domain-specific fine-tuning, these models can rapidly learn the underlying rules and dramatically improve performance on the same tasks they initially fumbled. We’ll showcase case studies across BFSI, retail, and healthcare to demonstrate this transformation in action.

Whether you’re building GenAI-powered solutions or evaluating their deployment in critical workflows, this session will offer practical insights into pushing LLMs beyond their limitations using lightweight, high-impact fine-tuning techniques. A must-attend for AI practitioners who want to turn GenAI into a precision tool, not just a powerful one.