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Q5 – The "context window" of a model is most similar to which concept?
Real Exam
Community
JJin
0
A
Long-term memory
B
Short-term working memory
C
Neural embedding space
D
Batch processing unit
Explanation:
The context window in AI models refers to the amount of text or tokens the model can consider at once when generating responses. This is analogous to short-term working memory in humans because:
- Limited capacity: Both have a fixed maximum size
- Temporary storage: Information is only available during processing
- Active processing: The content is actively used for current tasks
- Sliding window: As new information comes in, older information may be "forgotten" or pushed out
Unlike long-term memory which stores information permanently, the context window only holds information temporarily for immediate processing. Neural embedding space refers to how words/concepts are represented mathematically, and batch processing unit refers to hardware/processing optimization techniques.
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