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so today we're gonna talk about model context windows and like why agents keep forgetting stuff because they use way too many tools uh and then sort of lose the thread you know
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Today we are looking at model context windows, and why agents lose accuracy when they call too many tools without preserving state. The core problem is not memory alone — it is coordination.
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Context Windows Explained
Summary: The presenter explains how transformer models handle long conversations, why fixed context windows create information loss, and what strategies exist to mitigate this in production systems.
Today we are looking at model context windows, and why agents lose accuracy when they call too many tools without preserving state. The core problem is not memory alone — it is coordination.
When a context window fills up, the model starts dropping earlier tokens. This creates a subtle bug: the agent remembers that it called a tool, but forgets why.
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