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AI & Machine Learning · Advanced

Lost in the Middle

The tendency of some LLMs to use information at the start and end of a long context better than information in the middle.

Definition

Research found retrieval accuracy dips for facts buried mid-context. Mitigations include placing key instructions and documents strategically, reranking retrieved chunks and reducing irrelevant context.

Exam tip

Place the most important instructions and documents at the beginning or end of long prompts.

Related terms