Lesson 1423 of 2116
Context Attention Quality: Lost-in-the-Middle Across Models
How well models attend to information in different positions in context.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2lost in the middle
- 3attention
- 4needle in haystack
Concept cluster
Terms to connect while reading
Section 1
The premise
Models attend better to context start and end — long-context performance depends on placement.
What AI does well here
- Put critical instructions at start and end of context.
- Run needle-in-haystack tests on your real prompts.
- Avoid burying key info in the middle of long context.
What AI cannot do
- Eliminate position bias entirely.
- Predict middle-attention quality without testing.
Key terms in this lesson
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