👉 Sequence computing is a type of artificial intelligence paradigm designed to handle sequential data, where the order and timing of inputs are crucial. It involves processing data points in a specific sequence, such as time series, natural language, or speech, where the relationship between consecutive elements is important. Unlike traditional computing that focuses on static data, sequence computing models, like Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and more recently, Transformers, maintain a hidden state that captures information from previous inputs. This hidden state allows the model to remember and utilize past information when processing new data, making it particularly effective for tasks like language modeling, speech recognition, and time series prediction. The sequence is processed step-by-step, with each element influencing the next, enabling the model to learn complex patterns and dependencies inherent in sequential data.
