LatentMAS is a multi-agent reasoning framework that moves agent collaboration from token space into the model’s latent space. Instead of producing long textual reasoning traces, agents communicate by ...

Abstract: Multi-Agent Reinforcement Learning (MARL) has proven to be effective in learning cooperative policies, where agents learn decentralized policies, sharing the same network parameters, through ...

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Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand ...

March 30 (Reuters) - Microsoft (MSFT.O), opens new tab on Monday unveiled new features in its Copilot research assistant that would allow users to utilize multiple AI models simultaneously within the ...

In this tutorial, we build and explore the CAI Cybersecurity AI Framework step by step in Colab using an OpenAI-compatible model. We begin by setting up the environment, securely loading the API key, ...

OpenAI’s ChatGPT or Anthropic’s Claude regularly answer our questions. And souped-up versions of these chatbots, called AI agents, take actions on their own, helping people with appointments, coding ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

There was great anticipation that the NFL's two-day negotiating window was going to be busy, and it certainly didn't disappoint. On Monday, the first day of the league's legal tampering period, eight ...

Researchers at the Icahn School of Medicine at Mount Sinai in New York City are examining how artificial intelligence systems perform when faced with heavy workloads in clinical environments, finding ...