generate slides from the attachment l that explains architecture of the model training setup - less than 4 slides - focus on BRAF prediction related content - left paste relevant figure and bullet point explanation on the right. succinct

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This research explores the Virchow models for predicting BRAF mutations, detailing the prediction pipeline's architecture, pretraining, and transfer setup. It highlights the use of a pathology-adapted vision transformer backbone, including variants like Virchow2 and distilled Mini, and discusses the extensive pretraining on 3.1 million histopathology whole slide images (WSIs). The findings aim to enhance understanding of BRAF prediction in the context of pathology.