GPT 4 Vision

GPT-4 Vision, a multimodal large language model, integrates visual processing capabilities with its text-based understanding, enabling it to analyze and interpret images alongside text. Current research focuses on evaluating its performance across diverse applications, including medical image analysis, automated treatment planning, educational assessment, and code generation from visual models like UML diagrams, using various benchmark datasets and prompting strategies. These studies highlight both the impressive capabilities of GPT-4 Vision in achieving high accuracy on certain tasks and its limitations, particularly in providing reliable rationales and handling complex, multi-class scenarios, underscoring the need for careful evaluation and human oversight before widespread deployment. The findings are significant for advancing multimodal AI and informing the development of more robust and reliable AI systems for various scientific and practical applications.