AI Foundations
Long short-term memory
A type of AI network designed to manage which information is remembered across an ordered sequence.
Example
An LSTM carries selected information forward while processing a time series.
Why people use it
It helps a recurrent network carry useful information over longer sequences.
What you'll hear
“Keep the important earlier detail while reading the next part.”
What this means for you
Test the actual range of dependencies the AI system needs to handle.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Can the order of information matter?
- Yes. Earlier information influences later steps, so rearranging a sequence can change the result.
- What do the gates do?
- They regulate which information is kept, changed or passed forward within the network.
- Can it process measurements over time?
- Yes. It can be used with ordered numerical readings as well as language.