• 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

  • HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
  • HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
  • Deterministic Prompts: How to Get Consistent Answers from Large Language Models
  • Deterministic Prompts: How to Get Consistent Answers from Large Language Models
  • Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions
  • Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions
  • 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
  • What Counts as Vibe Coding? A Practical Checklist for Teams
  • What Counts as Vibe Coding? A Practical Checklist for Teams

Categories

  • Science & Research

Archives

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

Tags

vibe coding large language models AI coding tools prompt engineering generative AI LLM security AI compliance AI governance AI coding transformer models AI code security GitHub Copilot AI development LLM deployment AI coding assistants prompt injection AI code vulnerabilities GPU utilization LLM optimization AI agents

© 2026. All rights reserved.