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What is Context Window?

It is the information capacity that artificial intelligence can remember and process at once.

Overview

It is the total amount of information that artificial intelligence can keep in memory during a single conversation or transaction. This limit determines how well the model remembers the past.

Analogy: It is like the size of a table; The more papers you can fit on the table, the more information the AI ​​can consider at once.

How it works

While the model processes each new word, it also keeps the previous words within this window. Once the window is full, the model begins to forget the oldest information.

Where it is used

This capacity is vital when having long books summarized or a complex code project analyzed.

Commonly confused with

It is confused with the general knowledge of the model; General knowledge is gained in education, and context window is the short-term memory of the current conversation.

Frequently asked questions

What happens if the context window fills?

The model forgets the beginning of the conversation and begins to drift off topic.

Is a larger context window always better?

Yes, but it may increase transaction cost and response time.

Related terms

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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 →