In this work, we discuss building performant Multimodal Large Language Models (MLLMs). Through careful and comprehensive ablations of the image encoder, the vision language connector, and various pre-training data choices, we identified several crucial design lessons: …
In the realm of artificial intelligence, the confluence of visual and language data represents a groundbreaking shift. The Large Language and Vision Assistant (LLaVA) model exemplifies this evolution. Unlike traditional AI models, LLaVA integrates visual inputs with linguistic context, offering a more holistic understanding of both textual and visual data. …