Neurosymbolic Customized and Compact Copilots for Critical Applications

Learn about the challenges and potential solutions for developing neurosymbolic AI models in critical applications through this comprehensive lecture from the AI Institute at UofSC. Explore how Large Language Models (LLMs), while effective for open-domain tasks, face significant limitations in parametrized knowledge leading to hallucinations and inconsistencies. Discover the complexities of controlling, fine-tuning, and customizing LLMs for specialized applications in healthcare and finance, where reliability and accuracy are paramount. Examine the development of compact, custom neurosymbolic AI models that integrate human oversight through co-pilot systems, designed to provide controlled, robust, and interpretable reasoning grounded in established rules and protocols. Gain insights into creating resource-efficient AI solutions that can be effectively customized while maintaining reliability in critical real-world applications.