Long Short-Term Memory (LSTM)

Long Short-Term Memory (LSTM) is a type of artificial intelligence model used in machine learning, particularly for processing sequences of data, like text or time-series. LSTMs are designed to remember information for long periods, overcoming limitations of traditional models that struggle with long-term dependencies. They work by using special gates that control what information to keep, ignore, or forget, allowing them to capture patterns and relationships in data over time. This makes LSTMs particularly effective for tasks like language translation, speech recognition, and other applications where context and sequence matter.