Scaling up large language models and utilizing vision encoders improves the performance of visual reasoning tasks. The pretraining stage and data scaling are crucial for model generalization. Techniques to preserve image information and enhance OCR capabilities have resulted in surprising emergent capabilities, such as solving mathematical problems and making decisions based on traffic signs.
