Explore a 14-minute technical video that delves into the evolution and enhancement of Long Short-Term Memory Networks (LSTMs) through the introduction of XLSTM (Extended LSTM). Learn about the historical limitations of traditional LSTMs in parallel processing and GPU utilization, and discover how the new XLSTM architecture addresses these constraints through its two main components: sLSTM and mLSTM. Understand the mathematical foundations, including detailed equations, as the video progresses from basic concepts of Recurrent Neural Networks to advanced implementations. Compare the performance of this parallel-capable LSTM variant with modern transformers, examining the technical specifications of both the normalizer and stabilizer in sLSTM, and the comprehensive structure of mLSTM blocks. Gain insights into the practical advantages and evaluation metrics of XLSTM, making it relevant for professionals working with sequence-related tasks such as text generation and translation.