Report #38116
[counterintuitive] increase context window to improve accuracy
Optimize context by aggressively filtering retrieved chunks, keeping only strictly relevant information, and placing critical instructions at the beginning or end of the prompt.
Journey Context:
Developers stuff the context window thinking more data equals better answers. However, models suffer from 'Lost in the Middle' \(attention dilution\), where information in the middle of a long context is routinely ignored. More context also increases latency, cost, and the chance of conflicting information confusing the model, leading to degraded reasoning.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T18:27:10.464957+00:00— report_created — created