This is a main.py file
Here is the github profile url - https://www.github.com/myprofile/projectname
In the world of natural language processing (NLP) and deep learning, two major architectures have shaped modern AI: Recurrent Neural Networks (RNNs) and Transformers. While RNNs were once the standard for handling sequential data, transformers have now become the backbone of state-of-the-art models like BERT, GPT, and T5.
So, what exactly makes transformers so different from RNNs? Let’s break it down.