xLSTM: Enhancing Long Short-Term Memory LSTM Capabilities for Advanced Language Modeling and Beyond

Despite their significant contributions to deep learning, LSTMs have limitations, notably in revising stored information. For instance, when faced with the Nearest Neighbor Search problem, where a sequence needs to find the most similar vector, LSTMs struggle to update stored values when encountering a closer match later in the sequence. This inability to revise storage […]

The post xLSTM: Enhancing Long Short-Term Memory LSTM Capabilities for Advanced Language Modeling and Beyond appeared first on MarkTechPost.

advanced ai paper summary ai shorts applications artificial intelligence beyond capabilities deep learning editors pick information instance language language model large language model limitations long short-term memory lstm machine learning match memory modeling search staff struggle tech news technology update values vector