Microsoft’s LLaVA-Med Trains a Large Language-and-Vision Assistant for Biomedicine Within 15 Hours

In a new paper LLaVA-Med: Training a Large Language-and-Vision Assistant, a Microsoft research team proposes a Large Language and Vision Assistant for BioMedicine (LLaVA-Med), which can be trained in less than 15 hours and demonstrates strong multimodal conversational capability, aiding inquiries about biomedical image.

ai artificial intelligence assistant biomedical biomedical engineering biomedicine conversational deep-neural-networks image language machine learning machine learning & data science microsoft microsoft research ml multimodal multimodal learning paper research research team team technology training trains vision