What is Working Memory?
It is the short-term memory area where artificial intelligence temporarily keeps information during processing.
Overview
Working memory is where the AI keeps the current context and necessary data active while performing a task. This information is usually cleared when the task is finished or the context changes.
How it works
It occurs when the model keeps input data and intermediate results in its memory for quick access within the current processing cycle.
Where it is used
It is used in preserving chat history and complex reasoning processes.
Commonly confused with
Its difference from long-term memory is that it is limited only to the current task.
Frequently asked questions
What happens if working memory becomes full?
The model begins to forget old information or may lose context.
Related terms
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →