Transformers: Beyond Language, Reshaping Diverse Data
The world of artificial intelligence has been revolutionized by the introduction of transformer models. These powerful models, initially designed for natural language processing (NLP), have rapidly expanded their influence to other fields like computer vision, speech recognition, and even drug discovery. Their ability to handle long-range dependencies and parallel processing makes them a cornerstone of modern AI Innovation. Let's delve into the intricacies of transformer models and understand why they are so transformative.
Understanding Transformer Architecture
The Rise of Attention Mechanisms
Traditional sequential models like Recurrent Neural Networks (RNNs) struggled with long sequences due to vanishing gradients and limited parallelization. Transformer models addressed these limitatio...








