• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: LLM attention

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

  • Navigating the Generative AI Landscape: Practical Strategies for Leaders
  • Navigating the Generative AI Landscape: Practical Strategies for Leaders
  • Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions
  • Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions
  • Proof-of-Concept Machine Learning Apps Built with Vibe Coding
  • Proof-of-Concept Machine Learning Apps Built with Vibe Coding
  • Budgeting for Generative AI Programs: How to Plan Costs and Measure Real Value
  • Budgeting for Generative AI Programs: How to Plan Costs and Measure Real Value
  • Prompt Hygiene for Factual Tasks: How to Stop LLMs from Making Mistakes
  • Prompt Hygiene for Factual Tasks: How to Stop LLMs from Making Mistakes

Categories

  • Science & Research
  • Enterprise Technology

Archives

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

Tags

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

© 2026. All rights reserved.