Unlocking the Full Potential of Vision-Language Models: Introducing VISION-FLAN for Superior Visual Instruction Tuning and Diverse Task Mastery

Recent advances in vision-language models (VLMs) have led to impressive AI assistants capable of understanding and responding to both text and images. However, these models still have limitations that researchers are working to address. Two of the key challenges are: To tackle these challenges, in this paper, researchers have developed VISION-FLAN, a groundbreaking new dataset […]

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