The Context Window Myth: Why Bigger Isn’t Always Better in LLM Applications
SMRTR summary
Despite AI companies racing to offer million-token context windows, bigger isn't always better. Research shows LLMs recall information best at the start and end of a prompt, missing details buried in the middle — and stretching context further causes "context rot," degrading complex reasoning. Massive contexts also spike API costs and slow response times. Smarter solutions involve intelligent data filtering through advanced retrieval techniques, giving models only what they need.
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