
The introduction of xLSTM, Extended Long Short-Term Memory, marks a significant advancement in AI technology. Developed by Sepp Hochreiter, the inventor of LSTM, xLSTM addresses limitations of traditional LSTMs by incorporating new memory cells and scaling techniques. With features like exponential gating and enhanced memory structures, xLSTM competes favorably with State-of-the-Art Transformers and State Space Models, offering improved performance and scalability.



Hear me out xLSTMs combined with KAN and Jamba (Transformer (MoE) x Mamba) and RWKW with a sprinkle of diffusion and graphs https://t.co/XicnJkMmHt
Hear me out xLSTMs combined with KAN and Jamba (Transformer-Mamba) with a sprinkle of diffusion and graphs https://t.co/r3MQkeh1da
The Inventor of LSTM Unveils New Architecture for LLMs to Replace Transformers https://t.co/bRsReJD2UY https://t.co/8w3h93bZdo