• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: LLM planning

Structured Reasoning Modules in Large Language Models: How Planning and Tool Use Boost Accuracy
Structured Reasoning Modules in Large Language Models: How Planning and Tool Use Boost Accuracy

Tamara Weed, Jan, 26 2026

Structured Reasoning Modules transform how LLMs solve complex problems by breaking reasoning into Generate-Verify-Revise steps. This new approach boosts accuracy by over 12% on hard tasks and reduces errors, making it essential for finance, science, and legal AI systems.

Categories:

Science & Research

Tags:

structured reasoning LLM planning tool use in AI Large Language Models Verify-Revise architecture

Recent post

  • Prompt Chaining vs Agentic Planning: Which LLM Pattern Fits Your Task?
  • Prompt Chaining vs Agentic Planning: Which LLM Pattern Fits Your Task?
  • 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
  • How Large Language Models Communicate Uncertainty to Avoid False Answers
  • How Large Language Models Communicate Uncertainty to Avoid False Answers
  • 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
  • Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance
  • Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance

Categories

  • Science & Research

Archives

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

Tags

vibe coding large language models generative AI AI coding tools LLM security AI governance prompt engineering AI coding AI compliance transformer models AI agents AI code security AI implementation GitHub Copilot data privacy AI development LLM architecture LLM deployment GPU optimization AI in healthcare

© 2026. All rights reserved.