Transformers Beyond NLP How do AI Uses Attention Mechanisms for Vision and Multimodal Tasks
When transformers first emerged and caming in 2017 in the seminal paper “Attention Is All You Need”, they forever altered the landscape of Natural Language Processingwhich is NLP. The self-attention feature allowed models to process language with astonishing importance weighting, accuracy, and scalability. However, the impact of transformers has rapidly moved beyond text alone. Currently,…