• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: self-consistency

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

  • Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything
  • Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything
  • How Large Language Models Learn: Self-Supervised Training at Internet Scale
  • How Large Language Models Learn: Self-Supervised Training at Internet Scale
  • Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
  • Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
  • Data Privacy in LLM Training Pipelines: How to Redact PII and Enforce Governance
  • Data Privacy in LLM Training Pipelines: How to Redact PII and Enforce Governance
  • Internal Tools and Business Automation Built with Vibe Coding: What Actually Works in 2025
  • Internal Tools and Business Automation Built with Vibe Coding: What Actually Works in 2025

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.