Neuro-Symbolic AI for EGI: Explainable, Grounded, and Instructable Generations

This tutorial introduces Neuro-Symbolic AI as a method to enhance Large Language Models (LL Ms). It focuses on making LL Ms more robust, explainable, and instructable by combining symbolic knowledge structures with statistical learning techniques. The goal is to address the limitations of black-box LL Ms, particularly in terms of transparency and domain-specific protocol understanding.