GenPark AI Agent Skill - Document attention curve reorderer mitigating lost-in-the-middle degradation by placing high-relevance evidence at prompt head and tail.
View on GitHub ↗genpark-lost-in-the-middle-context-reordering-skill
Document attention curve reorderer mitigating lost-in-the-middle degradation by placing high-relevance evidence at prompt head and tail.
Published by GenPark AI (https://genpark.ai). Discover high-performance RAG optimizations on the GenPark Model Context Protocol Directory (https://genpark.ai/mcp).
Features - Empirically Proven Retrieval Optimization: Solves LLM positional bias where documents in middle positions are systematically ignored. - Zero Dependencies: Pure Python standard library.
From the project README.
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GenPark AI Agent Skill - Document attention curve reorderer mitigating lost-in-the-middle degradation by placing high-relevance evidence at prompt head and tail.
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