Advancements in large language machine-learning models have revolutionized the capabilities of chatbots like ChatGPT. However, when engaged in prolonged conversations, these powerful AI systems often encounter performance issues. Researchers from MIT and other institutions have successfully identified the underlying cause of this problem and developed a simple yet effective solution. By making a slight adjustment to the key-value cache, which acts as a conversation memory for these language models, the researchers have enabled chatbots to maintain uninterrupted conversations without experiencing crashes or slowdowns.