Agentes de IA: cómo un LLM razona, usa herramientas y actúa solo
The article discusses the evolution of AI agents, highlighting their ability to reason, use tools, and act autonomously. Unlike traditional chatbots, these agents can pursue goals through a cycle of reasoning and action. The piece emphasizes the significance of this technology as a dominant trend for 2026, as noted by Gartner and IBM.
- ▪An AI agent is a program that uses a large language model (LLM) to make decisions and act on the world through tools.
- ▪The key difference between an AI agent and a traditional chatbot is autonomy, allowing the agent to pursue goals through multiple steps.
- ▪The most common technical pattern used by AI agents is called ReAct, which combines reasoning and acting.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 806044) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } lu1tr0n Posted on Jun 3 • Originally published at elsolitario.org Agentes de IA: cómo un LLM razona, usa herramientas y actúa solo #ai #machinelearning #programming #tutorial Durante años, la inteligencia artificial respondía una pregunta y se quedaba esperando la siguiente. En 2026 el patrón cambió: un agente de IA ya no se limita a contestar, sino que decide qué hacer, usa herramientas externas y repite el ciclo hasta cumplir un objetivo.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
