LSTM vs. Transformers

 

Now that LSTM and Transformer architectures have been discussed in my previous posts, let's ask GPT-4 to summarize and highlight the differences between these two architectures.  

Transformer has become the de-facto architecture for natural language processing (NLP) due to its parallel processing capability, parameter efficiency, and innovative attention mechanism.  That explains for the T in GPT, which stands for Generative Pre-Trained Transformer.  By the way, NLP is an important component of AI that focuses on the interaction between human language (spoken or written) and computer.