Editing Chaos theory (section)

=== AI-extended modeling framework ===
In AI-driven large language models, responses can exhibit sensitivities to factors like alterations in formatting and variations in prompts. These sensitivities are akin to butterfly effects.<ref>{{Cite arXiv|last1=Salinas |first1=Abel |last2=Morstatter |first2=Fred |date=2024-01-01 |title=The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance |class=cs.CL |eprint=2401.03729}}</ref> Although classifying AI-powered large language models as classical deterministic chaotic systems poses challenges, chaos-inspired approaches and techniques (such as ensemble modeling) may be employed to extract reliable information from these expansive language models (see also "[[Butterfly effect in popular culture#AI-powered Large Language Models|Butterfly Effect in Popular Culture]]").