Large language models like ChatGPT and GPT-4 leverage stopping tokens to determine when to halt text generation.Stopping tokens are special signals for models to end text generation, preventing indefinite output and maintaining contextual boundaries.They enhance user experience by ensuring concise and relevant responses in language models.Stopping tokens work by identifying predefined markers or consistency indicators to conclude text generation.