If we consider an AI Agent as a smart car, then large language models (such as GPT-4, Gemini, Claude, etc.) are undoubtedly its core engine. LLMs empower the Agent with understanding, planning, and ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

A successful AI Agent typically consists of three core components: Model, Tools, and Instructions. These three elements ...

The research proposes a new cognitive architecture that harnesses large language models to simulate more human-like decision-making. Unlike traditional agents, these LLM-powered agents use a layered ...

I want to order a hamburger and chicken….” On the morning of the 16th at the International Convention Center in Shenzhen, ...

Zapier reports on Agentic AI, a system of interconnected AI agents collaborating to autonomously achieve complex goals with ...

Google Inc. early Tuesday launched its Agent Payments Protocol, an open protocol to authenticate consumers who are initiating ...

WFG has launched Agent 3.0, a next-generation program powered by innovation, automation, and agent collaboration—designed to streamline operations, spark growth, and equip title agents with the tools ...

MEM Agent combines privacy, local memory, and AI integration to streamline workflows while keeping your data safe and secure ...

Google has launched its Agent Payments Protocol, an open protocol that establishes a payment-agnostic framework for users, ...

AI agents are everywhere, powering the way we brainstorm, plan, write, and create. They’re in our workflow, our apps, and in ...