A plug-in architecture for multimodal continual learning lets researchers test new training strategies without rewriting the base model code, making MLLM research faster and more reproducible.
Prism is a software framework that makes it easier to develop and test new methods for continuously training multimodal AI models on new tasks. Instead of modifying the core model code each time, researchers can add new strategies as plug-in modules, reducing engineering overhead and enabling fair comparisons between different approaches.