Hello, AI enthusiasts! Today, we're diving into the fascinating world of Transformers - not the shape-shifting robots, but a revolutionary architecture in machine learning that has transformed (pun intended) natural language processing. This blog post is aimed at beginners, so don't worry if you're new to the field. We're going to break it down step-by-step! What are Transformers? Transformers are a type of model architecture used in the field of deep learning, specifically for tasks involving natural language processing (NLP). Introduced by Vaswani et al. in a paper titled "Attention is All You Need" (2017), Transformers have achieved impressive results in a wide range of NLP tasks, such as translation, text summarization, and sentiment analysis.  Why 'Transformers'? The secret sauce of Transformers lies in their unique ability to 'transform' input data (like text) into meaningful output (like a translation or summary), thanks to the...