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Multi-Agent Systems

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  • Collaborate with Intelligence

    Trae unveils major updates: a unified Chat-Builder interface, @Agent system with MCP for multi-agent collaboration, and smarter context handling (#Web, #Doc, Rules). Boost your workflow with AI-driven coding and adaptable agents.

    Trae Blog3 min read
  • AI as Normal Technology

    This post is over 15,000 words long—it is a new paper on our vision for the future of AI. We are pleased to announce that an expanded version of these ideas will become our next book together.

    AI Snake Oil80 min read
  • Simplifying Deep Temporal Difference Learning

    tl;dr The authors propose PQN, a simplified deep online Q-Learning that uses very small replay buffers. Normalization and parallelized sampling from vectorized environments stabilizes training without the need for huge replay buffers.

    VITALab5 min read
  • How Gatsbi Outperforms Other AI Research Tools

    The only production-grade AI platform combining research hypothesizing, paper generation, systematic review, and meta-analysis — all in one tool.

    Gatsbi Blog10 min read
  • Create a Swarm of Agents

    When building applications with Language Models, new patterns are emerging to bridge the gap between the statistical nature of these models and the deterministic logic of traditional programming.

    Haystack Blog15 min read
  • Join the Most-Awaited Chatbot Conference

    Join the Most-Awaited Chatbot Conference 🚀 What to Expect The conference features a range of events designed to enrich attendees’ understanding of the chatbot industry: Expert Keynotes: Get …

    Becoming Human (AI)2 min read
  • BrainSoup v1.28.0

    This new release (BrainSoup 1.28.0) is a major update which introduces the following changes: Codestral Mamba!: This is a new model by Mistral has a huge 256K token context window, and is very cost-effective.

    BrainSoup Blog1 min read
  • v15

    Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics Held in Fort Lauderdale, FL, USA on 11-13 April 2011 Published as Volume 15 by the Proceedings of Machine Learning Research on 14 June 2011.

    PMLR15 min read

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