• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: ReAct framework

Agent-Oriented Large Language Models: Planning, Tools, and Autonomy Explained
Agent-Oriented Large Language Models: Planning, Tools, and Autonomy Explained

Tamara Weed, Mar, 11 2026

Agent-oriented large language models go beyond answering questions-they plan, use tools, and act autonomously. Learn how they work, where they excel, and the risks you can't ignore.

Categories:

Science & Research

Tags:

agent-oriented LLMs LLM planning AI autonomy tool-using agents ReAct framework

Recent post

  • Cybersecurity Standards for Generative AI: NIST, ISO, and SOC 2 Controls Explained
  • Cybersecurity Standards for Generative AI: NIST, ISO, and SOC 2 Controls Explained
  • How Large Language Models Work: Core Mechanisms and Capabilities Explained
  • How Large Language Models Work: Core Mechanisms and Capabilities Explained
  • How Large Language Models Communicate Uncertainty to Avoid False Answers
  • How Large Language Models Communicate Uncertainty to Avoid False Answers
  • Scientific Workflows with Large Language Models: How Hypotheses and Methods Are Changing Research
  • Scientific Workflows with Large Language Models: How Hypotheses and Methods Are Changing Research
  • How LLMs Use Probabilities to Pick the Next Word
  • How LLMs Use Probabilities to Pick the Next Word

Categories

  • Enterprise Technology
  • Science & Research

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

© 2026. All rights reserved.