What is LSTM (Long Short-Term Memory)?
An improved type of recurrent neural network that can remember information over longer sequences.
Why It Matters
LSTMs solved the problem of standard RNNs forgetting earlier parts of long sequences.
Real-World Example
An LSTM can understand that 'the cat, which sat on the mat, was' refers back to 'cat' many words later.
“Understanding terms like LSTM (Long Short-Term Memory) matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Recurrent Neural Network (RNN)
A neural network designed for sequential data that remembers information from previous steps.
Neural Network
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather than reading sequentially.
Learn More at buildDay Melbourne
Want to understand these concepts hands-on? Join our one-day workshop and build a real web application from scratch.
Related Terms
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Neural Network
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Recurrent Neural Network (RNN)
A neural network designed for sequential data that remembers information from previous steps.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.
Tokenisation
The process of breaking text into smaller pieces called tokens that an AI model can process.