Transformers: Unlocking Generative Power In Molecular Design
Transformer models have revolutionized the field of artificial intelligence, becoming the backbone of many state-of-the-art applications ranging from natural language processing to computer vision. Their ability to process sequential data in parallel, along with the powerful attention mechanism, has unlocked unprecedented capabilities in understanding and generating human-like text, images, and more. Let's delve into the inner workings of these fascinating models and explore their vast applications.
What are Transformer Models?
Transformer models are a type of neural network architecture that relies on the concept of "self-attention" to weigh the importance of different parts of the input data. Unlike recurrent neural networks (RNNs) that process sequential data step-by-step, transformers ...