Large Behavior Model

A Large Behavior Model (LBM) is an emerging AI paradigm distinct from large language models focused on text generation. Its core objective is to model and predict the behaviors of individuals or groups by learning from large volumes of decision and response data, generating synthetic populations to simulate collective reactions to policies, products, or information dissemination.