Lesson 1521 of 2116
Context window engineering: more is not always better
Long context windows enable new patterns and create new failure modes — needle-in-a-haystack, latency, and cost.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2effective context
- 3needle in haystack
- 4position bias
Concept cluster
Terms to connect while reading
Section 1
The premise
Large context windows are powerful but not uniformly attentive; effective use requires deliberate engineering, not just more tokens.
What AI does well here
- Design needle-in-haystack tests for your use case.
- Estimate per-call cost as context grows.
What AI cannot do
- Eliminate position bias in current models.
- Replace retrieval for very large knowledge bases.
Key terms in this lesson
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