The 2017 paper “Attention is All You Need” by Vaswani et al. presents a new way to build machines that can understand and generate human language. They introduce a model called the Transformer, which is based on a technique called attention. The Transformer model is …
The remarkable advancements in natural language processing (NLP) in recent years can be attributed to the development of deep learning techniques, particularly the Transformer architecture. Central to this architecture are two key concepts: self-attention and positional encoding. In this article, we will dive into these …
The landscape of natural language processing (NLP) has been radically transformed with the advent of the Transformer architecture. Introduced by Vaswani et al. in the seminal paper “Attention is All You Need” in 2017, the Transformer model has redefined the state-of-the-art in NLP tasks and …
