• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: LLM uncertainty

How Large Language Models Communicate Uncertainty to Avoid False Answers
How Large Language Models Communicate Uncertainty to Avoid False Answers

Tamara Weed, Dec, 19 2025

Large language models often answer confidently even when they're wrong. Learn how new methods detect when they're out of their depth-and how to make them communicate uncertainty honestly to build real trust.

Categories:

Science & Research

Tags:

knowledge boundaries LLM uncertainty large language models AI confidence hallucination control

Recent post

  • Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality
  • Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality
  • 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
  • How Generative AI Is Transforming Manufacturing SOPs, Work Instructions, and QC Reports
  • How Generative AI Is Transforming Manufacturing SOPs, Work Instructions, and QC Reports
  • Secure Development for Generative AI: Secrets, Logging, and Red-Teaming
  • Secure Development for Generative AI: Secrets, Logging, and Red-Teaming
  • Health Checks for GPU-Backed LLM Services: Preventing Silent Failures
  • Health Checks for GPU-Backed LLM Services: Preventing Silent Failures

Categories

  • Science & Research
  • Enterprise Technology

Archives

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

© 2026. All rights reserved.