• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: probability distribution

How LLMs Use Probabilities to Pick the Next Word
How LLMs Use Probabilities to Pick the Next Word

Tamara Weed, Apr, 23 2026

Learn how Large Language Models use token prediction and probability distributions to generate text, from the softmax function to decoding strategies like Top-P and Temperature.

Categories:

Enterprise Technology

Tags:

Large Language Models token prediction decoding strategies probability distribution transformer architecture

Recent post

  • Why Large Language Models Excel: Transfer, Generalization, and Emergent Abilities Explained
  • Why Large Language Models Excel: Transfer, Generalization, and Emergent Abilities Explained
  • Design Patterns for Safe, Reliable, and Maintainable LLM Agents
  • Design Patterns for Safe, Reliable, and Maintainable LLM Agents
  • Stochastic Depth in LLMs: How Random Layer Dropping Regularizes Deep Transformers
  • Stochastic Depth in LLMs: How Random Layer Dropping Regularizes Deep Transformers
  • 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
  • How to Use Agent Plugins and Tools to Extend Vibe Coding Capabilities
  • How to Use Agent Plugins and Tools to Extend Vibe Coding Capabilities

Categories

  • Science & Research
  • Enterprise Technology

Archives

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

Tags

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

© 2026. All rights reserved.