• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: lost in the middle

Long-Context Prompt Design: How to Fix the 'Lost in the Middle' Problem
Long-Context Prompt Design: How to Fix the 'Lost in the Middle' Problem

Tamara Weed, Apr, 16 2026

Learn how to overcome the 'Lost in the Middle' phenomenon in LLMs by strategically positioning critical information to maximize model attention and accuracy.

Categories:

Enterprise Technology

Tags:

long-context prompt design lost in the middle prompt engineering RAG optimization LLM attention

Recent post

  • Emergent Capabilities in Generative AI: What Works and What Remains Unclear
  • Emergent Capabilities in Generative AI: What Works and What Remains Unclear
  • What Is the Parapsychological Association and What Do They Study?
  • What Is the Parapsychological Association and What Do They Study?
  • How Large Language Models Learn: Self-Supervised Training at Internet Scale
  • How Large Language Models Learn: Self-Supervised Training at Internet Scale
  • How to Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, Impact
  • How to Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, Impact
  • How to Integrate Stripe and Supabase in Vibe-Coded Apps (2026 Guide)
  • How to Integrate Stripe and Supabase in Vibe-Coded Apps (2026 Guide)

Categories

  • Science & Research
  • Enterprise Technology

Archives

  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025

Tags

vibe coding prompt engineering large language models generative AI Large Language Models AI coding tools AI governance transformer architecture LLM security data privacy AI compliance AI development AI coding assistants LLM optimization AI coding transformer models AI code security GitHub Copilot LLM deployment responsible AI

© 2026. All rights reserved.