Building a Flexible Framework for Multimodal Data Input in Large Language Models

AnyModal is an open-source framework designed to make training multimodal LLMs easier by reducing boilerplate and simplifying the integration of diverse data types like text, images, and audio. It provides modular components for tokenization, feature encoding, and projection, allowing developers to focus on building applications without dealing with the complexities of multimodal integration. Demos include training VLMs for image captioning, LaTeX OCR, and radiology captioning.