Simple Transformer example
Posted: Tue Mar 31, 2026 8:03 am
Tiny Transformer-Style Attention Example
What this example teaches :
This tiny demo shows the core transformer idea:
1. Each earlier word has a key
This helps decide whether the word is important.
2. Each earlier word also has a value
This carries useful meaning.
3. The current position creates a query
This asks:
“Which earlier word matters most right now?”
4. Attention weights are computed
The model gives more weight to the useful token.
5. The weighted information is combined
That combined result helps make a prediction.
What this example teaches :
This tiny demo shows the core transformer idea:
1. Each earlier word has a key
This helps decide whether the word is important.
2. Each earlier word also has a value
This carries useful meaning.
3. The current position creates a query
This asks:
“Which earlier word matters most right now?”
4. Attention weights are computed
The model gives more weight to the useful token.
5. The weighted information is combined
That combined result helps make a prediction.