Article:Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
xLSTM: Extended Long Short-Term Memory
A research team led by Sepp Hochreiter introduces xLSTM, an extension of the original Long Short-Term Memory architecture designed for large-scale language modelling. The approach addresses historical scaling limits of LSTMs and demonstrates competitive performance against state-of-the-art Transformers and State Space Models.
From Video: Building an LLM from Scratch: Neural Networks, Tokenization, and Transformers