• 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

  • Security Risks in LLM Agents: Injection, Escalation, and Isolation
  • Security Risks in LLM Agents: Injection, Escalation, and Isolation
  • Context Windows in Large Language Models: Limits, Trade-Offs, and Best Practices
  • Context Windows in Large Language Models: Limits, Trade-Offs, and Best Practices
  • 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
  • Executive Playbook for Scaling Vibe Coding Across the Organization
  • Executive Playbook for Scaling Vibe Coding Across the Organization
  • Hardware-Friendly LLM Compression: How to Optimize Large Models for GPUs and CPUs
  • Hardware-Friendly LLM Compression: How to Optimize Large Models for GPUs and CPUs

Categories

  • Science & Research

Archives

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

Tags

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

© 2026. All rights reserved.