• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: model scaling

Parameter Counts in Large Language Models: Why Size and Scale Matter for Capability
Parameter Counts in Large Language Models: Why Size and Scale Matter for Capability

Tamara Weed, Dec, 20 2025

Parameter count in large language models determines their reasoning power, knowledge retention, and task performance. Bigger isn't always better-architecture, quantization, and efficiency matter just as much as raw size.

Categories:

Science & Research

Tags:

large language models parameter count LLM size model scaling AI capabilities

Recent post

  • How Large Language Models Communicate Uncertainty to Avoid False Answers
  • How Large Language Models Communicate Uncertainty to Avoid False Answers
  • HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
  • HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
  • Measuring Bias and Fairness in Large Language Models: Standardized Protocols Explained
  • Measuring Bias and Fairness in Large Language Models: Standardized Protocols Explained
  • 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 Prompting for Vibe Coding: How to Ask for Safer Implementations
  • Secure Prompting for Vibe Coding: How to Ask for Safer Implementations

Categories

  • Science & Research

Archives

  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025

Tags

vibe coding generative AI large language models AI coding tools prompt engineering AI coding AI compliance AI governance LLM security transformer models AI code security AI implementation GitHub Copilot GPU optimization AI in healthcare Parapsychological Association psi research paranormal studies psychic phenomena parapsychology

© 2026. All rights reserved.