• 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

  • Evaluating Fine-Tuned LLMs: A Practical Guide to Measurement Protocols
  • Evaluating Fine-Tuned LLMs: A Practical Guide to Measurement Protocols
  • Key, Query, and Value Projections in LLM Attention: What the Matrices Learn
  • Key, Query, and Value Projections in LLM Attention: What the Matrices Learn
  • How to Measure Gender and Racial Bias in Large Language Model Outputs
  • How to Measure Gender and Racial Bias in Large Language Model Outputs
  • Document Processing with Multimodal LLMs: OCR, Tables, and Visual Reasoning
  • Document Processing with Multimodal LLMs: OCR, Tables, and Visual Reasoning
  • How to Use Generative AI for Syllabi, Lesson Plans, and Rubrics
  • How to Use Generative AI for Syllabi, Lesson Plans, and Rubrics

Categories

  • Science & Research
  • Enterprise Technology

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 AI governance Large Language Models transformer architecture LLM security AI coding tools data privacy prompt injection AI compliance transformer models AI development AI coding assistants responsible AI LLM optimization AI coding LLM training AI code generation

© 2026. All rights reserved.