Recent research casts some doubt on the touted capabilities of Large Language Models, or LLMs — a type of artificial intelligence, or AI, technology that uses deep learning to generate and manipulate human language. It enables text generation, summarization,  translation and related results. But new studies led by Subbarao Kambhampati, a professor in the School of Computing and Augmented Intelligence, part of the Fulton Schools, and former president of the Association for the Advancement of Artificial Intelligence, cast some doubt on claims about the extent of the performance of LLMs.  He and others are showing that effective use of LLMS will require a more thorough understanding of these systems and verification of their actual abilities.