• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: AI capabilities

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

  • What Counts as Vibe Coding? A Practical Checklist for Teams
  • What Counts as Vibe Coding? A Practical Checklist for Teams
  • Fine-Tuning for Faithfulness in Generative AI: Supervised vs. Preference Methods to Reduce Hallucinations
  • Fine-Tuning for Faithfulness in Generative AI: Supervised vs. Preference Methods to Reduce Hallucinations
  • Generative AI in Business Operations: High-Impact Use Cases and Real Implementation Patterns
  • Generative AI in Business Operations: High-Impact Use Cases and Real Implementation Patterns
  • Understanding Attention Head Specialization in Large Language Models
  • Understanding Attention Head Specialization in Large Language Models
  • How to Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, Impact
  • How to Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, Impact

Categories

  • Science & Research

Archives

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

Tags

vibe coding large language models generative AI AI coding tools LLM security AI governance prompt engineering AI coding AI compliance transformer models AI agents AI code security AI implementation GitHub Copilot data privacy AI development LLM architecture GPU optimization AI in healthcare Parapsychological Association

© 2026. All rights reserved.