Positional Encoding Sequence Information

# Positional Encoding: Adding Sequence Information to Transformers Transformers have revolutionized natural language processing (NLP), powering large language models (LLMs) like GPT-3, BERT, and beyond. But unlike recurrent neural networks (RNNs) that inherently process sequences step-by-step, Transformers process the entire input sequence in parallel. This efficiency comes at a cost: the Transformer architecture, in its raw form, is *permutation invariant* – it doesn't inherently understan