• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: agent-oriented LLMs

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

  • IDE vs No-Code: Choosing the Right Development Tool for Your Skill Level
  • IDE vs No-Code: Choosing the Right Development Tool for Your Skill Level
  • Regulatory Outlook for AI-Generated Code: What to Expect by 2026
  • Regulatory Outlook for AI-Generated Code: What to Expect by 2026
  • 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
  • Prompt Chaining vs Agentic Planning: Which LLM Pattern Fits Your Task?
  • Prompt Chaining vs Agentic Planning: Which LLM Pattern Fits Your Task?
  • Memory Footprint Reduction: Hosting Multiple Large Language Models on Limited Hardware
  • Memory Footprint Reduction: Hosting Multiple Large Language Models on Limited Hardware

Categories

  • Science & Research
  • Enterprise Technology

Archives

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

Tags

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

© 2026. All rights reserved.