Webinar: How a Neuro-Symbolic Approach fixes GenAI reliability Issues?

​Generative AI has shown immense potential, but reliability remains a critical challenge, particularly for enterprises where accuracy and consistency are crucial. A neuro-symbolic approach integrates neural networks with symbolic reasoning, combining the pattern recognition capabilities of machine learning with the precision of rule-based systems. You will discover how this method enhances the reliability of GenAI by ensuring more accurate, traceable, and interpretable outcomes. You will also gain insights into how a neuro-symbolic framework addresses the inherent limitations of current AI models, offering a path toward more dependable AI applications in business environments.