👉 Sequences computing refers to the process of processing and generating sequences of data, such as text, time series, or audio, where the order of elements is crucial. In this context, sequences are typically represented as a series of inputs followed by outputs, where each input element is linked to the next in a specific order. For example, in natural language processing, a sentence forms a sequence where each word depends on the preceding words. Sequences are often handled using models like Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and Transformers, which are designed to capture dependencies and patterns within the sequence data. These models process inputs one element at a time, maintaining a hidden state that encodes information about the sequence seen so far, enabling them to generate coherent and contextually relevant outputs. This approach is fundamental in applications like language translation, speech recognition, and predictive text generation, where understanding the sequence's context is key to accurate results.
