Understanding Self-Attention and Positional Encoding in Language Models
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 …
