• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: LLM reasoning

Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained
Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained

Tamara Weed, Aug, 9 2025

Chain-of-Thought, Self-Consistency, and Debate are transforming how large language models solve complex problems. Learn how these methods work, when to use them, and why they’re becoming essential in AI systems by 2025.

Categories:

Science & Research

Tags:

chain-of-thought self-consistency debate reasoning LLM reasoning large language models

Recent post

  • Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
  • Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
  • Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding
  • Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding
  • Vibe Coding for Knowledge Workers: Tools That Save Hours Every Week
  • Vibe Coding for Knowledge Workers: Tools That Save Hours Every Week
  • Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance
  • Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance
  • Multi-Agent Systems with LLMs: How Specialized AI Agents Collaborate to Solve Complex Problems
  • Multi-Agent Systems with LLMs: How Specialized AI Agents Collaborate to Solve Complex Problems

Categories

  • Science & Research

Archives

  • 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 compliance AI governance LLM security AI coding transformer models AI implementation GitHub Copilot Parapsychological Association psi research paranormal studies psychic phenomena parapsychology no-code apps knowledge worker productivity AI app builder

© 2026. All rights reserved.