Long Short-Term Memory (LSTM)

Long Short-Term Memory (LSTM) is a type of artificial neural network designed to remember patterns over time and sequences, which is particularly useful for tasks involving language, speech, and time series data.To elaborate a bit, LSTM is a specific kind of Recurrent Neural Network (RNN), a type of AI model that's designed to process sequential data. However, standard RNNs can struggle with "long-term dependencies", meaning they have a hard time connecting information far apart in the sequence. LSTM networks address this problem with a special design that lets them remember or forget information over longer periods of time, making them very effective for tasks that involve understanding the context over a period of time, like language translation, speech recognition, and time series prediction.

In conclusion, LSTM is a special kind of AI model that's good at remembering information over time, making it particularly useful for tasks that involve sequences like language or speech.