IntroductionImagine trying to solve a puzzle with pieces scattered across miles. That’s the challenge modern AI models face when processing long sequences of data. While Transformers have revolutionized deep learning with their ability to focus on relevant information, their quadratic complexity and limited context windows make them sometimes ill-suited for tasks requiring deep memory, like language modeling, genomics, or time-series forecasting.Enter Titans, a groundbreaking architecture inspir...