Solving LLM Context Window Mechanisms with Hand-Calculated Math Problems
ProfTomYeh · x · 2026-08-11
The author released a new chapter designed to help developers understand LLM context window mechanisms through hand-calculated math problems. The exercises cover marking context, the proportion of system prompts vs. user messages, space consumption across turns, and calculating when context overflows.
The author notes that the goal is to counter the trend of AI making people think less, helping users deeply understand the underlying logic and boundaries of LLMs through manual calculation.
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