The paper Attention is All You Need introduces the Transformer, a model based on attention which revolutionized the field of natural language processing. Unlike previous models, the Transformer relies solely on attention mechanisms to process language and has become the basis for many language models used today. The authors also introduced techniques to make the Transformer work well, such as multiple attention heads, positional encoding, and layer normalization. The Transformer has shown its capability in various tasks, including machine translation and sentence structure analysis, and has surpassed previous models in accuracy and efficiency. This article provides an accessible explanation of the technical paper for non-technical readers.
