
In the ever-evolving landscape of artificial intelligence (AI), the development of multi-modal models represents a crucial stride towards more holistic and capable systems. These models, designed to handle both text and imagery data, have long grappled with numerous challenges due to the disparate nature of these modalities. Researchers from Meta and the University of Southern California have introduced an innovative