Advancements in LSTMs and Transformers

This chapter explores the evolution and significance of LSTM models, highlighting contributions from Sepp Hochreiter. It contrasts the performance of LSTMs with the newer transformer architecture, detailing the advantages of each in various applications. Additionally, the discussion introduces XLSTMs, a modified version that enhances scalability and memory handling, presenting a promising alternative in neural network technology.