• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: avoid hallucinations

Prompt Hygiene for Factual Tasks: How to Stop LLMs from Making Mistakes
Prompt Hygiene for Factual Tasks: How to Stop LLMs from Making Mistakes

Tamara Weed, Feb, 21 2026

Prompt hygiene stops LLMs from making dangerous mistakes by using clear, structured instructions. Learn how precise prompts cut hallucinations by over half and prevent security risks in clinical, legal, and financial tasks.

Categories:

Science & Research

Tags:

prompt hygiene LLM instructions factual accuracy avoid hallucinations prompt engineering

Recent post

  • Enterprise Knowledge Management with LLMs: Building Internal Q&A Systems
  • Enterprise Knowledge Management with LLMs: Building Internal Q&A Systems
  • Memory and State Management for Persistent LLM Agents: A Practical Guide
  • Memory and State Management for Persistent LLM Agents: A Practical Guide
  • Pipeline Orchestration for Multimodal Generative AI: Preprocessors and Postprocessors
  • Pipeline Orchestration for Multimodal Generative AI: Preprocessors and Postprocessors
  • Cybersecurity Standards for Generative AI: NIST, ISO, and SOC 2 Controls Explained
  • Cybersecurity Standards for Generative AI: NIST, ISO, and SOC 2 Controls Explained
  • Building Trust in Generative AI: A Practical Guide to Stakeholder Engagement and Transparency
  • Building Trust in Generative AI: A Practical Guide to Stakeholder Engagement and Transparency

Categories

  • Enterprise Technology
  • Science & Research

Archives

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

Tags

vibe coding prompt engineering large language models generative AI transformer architecture AI governance Large Language Models LLM security AI coding tools data privacy responsible AI prompt injection AI compliance transformer models AI development AI coding assistants multimodal generative AI LLM optimization AI coding LLM training

© 2026. All rights reserved.