Toward modular models: Collaborative AI development enables model accountability and continuous learning
Today, development of generalizable AI models requires access to sufficient data and compute resources, which may create challenges for some researchers. Democratizing access to technology across the research community can advance the development of generalizable AI models. By applying the core software development concept of modularity to AI, we can build models that are powerful, efficient, adaptable, and transparent.
Until recently, AI models were primarily built using monolithic architecture. Though powerful, these models can be challenging to customize and edit compared to modular models with easily interpretable functional components. Today,