What does 'Model differentiation' mean?

Model differentiation is the process of distinguishing between different AI-generated outputs by identifying unique patterns, structures, and statistical markers specific to various generative AI models. Since different AI models, such as GPT, Bard, Claude, and open-source LLMs, have distinct training datasets and generation styles, AI content detectors use comparative analysis to pinpoint which model may have generated a specific piece of content. This helps in forensic analysis, digital forensics, and regulatory compliance by allowing organizations to trace the origin of AI-generated content.