Update README.md

README.md

@@ -19,7 +19,7 @@ Model was trained by [Sber AI](https://github.com/sberbank-ai) team.
 
 *Hyper-tasking model is a generalized multi-tasking model, i.e., the model that can solve almost all tasks within supported modalities, mandatory including mutual pairwise translations between modalities (two modalities in case of RUDOLPH: images and Russian texts).*
 
-* Tasks: ` text2image generation, self reranking, text ranking, image ranking, image2text generation, zero-shot image classification, text2text generation, text-qa, math-qa, image captioning, image generation, text-in-the-wild, vqa, and so on`
+* Tasks: ` text2image generation, self reranking, text ranking, image ranking, image2text generation, zero-shot image classification, text2text generation, text-qa, math-qa, image captioning, image generation, text-in-the-wild, visual qa, and so on`
 * Language: ` Russian`
 * Type: ` decoder`
 * Num Parameters: ` 1.3B`