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Understanding AI token limits: why LLM context windows matter for enterprise

Tokens are the words/subwords an AI model 'reads' in one go. Limits (context windows) cap how much data you feed at once. Longer contexts = bigger processing; shorter = cheaper but may miss context.

WHY IT MATTERS

BFSI ops like document review, trade note analysis, regulatory parsing hit token ceilings fast. Understanding limits helps you choose model size and architecutre (chunking, RAG).

Source: WSJ · 2026-09-13

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Understanding AI token limits: why LLM context windows matter for enterprise — ath — AITechHive