Posts with #MultiAgentSystem

#MultiAgentSystem

Public posts on X that use #MultiAgentSystem.

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  1. Paul Jarratt@Jarrattp
    Thrilled to share that @Cognizant has open-sourced its Neuro® AI Multi-Agent Accelerator, a data-driven multi-agent orchestration framework designed to simplify and accelerate the development of collaborative AI systems. #multiagentsystem #OpenAI #GenAI
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  2. Jaewon Chu@Jwon_chu
    🎉 Thrilled to announce that AgentGrad is accepted to #NeurIPS2026! 🎯 Intervention-guided prompt optimization for multi-agent systems 📈 SOTA: 5 benchmarks × 2 LLMs
⚡ 2.5× faster | 💰 21.8% lower cost 📄 [ #MultiAgentSystem #Harness
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  3. Cognizant AI Lab✓@cognizantailab
    Designing multi-agent systems isn’t just about prompts and reasoning — it’s about knowing when to delegate to code. This blog explores a practical design for building #AgentNetworks with the Neuro #AI Multi-Agent Accelerator: #MultiAgentSystem #NeuroSAN
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  4. Applied Sciences MDPI✓@Applsci
    🔥 Read our Paper 📚 Group Consensus Using Event-Triggered Control for Second-Order Multi-Agent Systems under Asynchronous DoS Attack 🔗 👨‍🔬 by Yuhang Pan et al. #multiagentsystem
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  5. Guo-luen Huang@alyven
    之前一直保持神秘的 Union Alpha 真身揭曉!🤖 ​它不是單一超級模型,而是透過「多模型合成」與「M.A.S. (多智能體系統)」協作的心血結晶。好奇不同 LLM 如何互相補足、發揮 1+1>2 的效益?來看看我們的 M.A.S 實作與開發閒聊👇 ​🔗 ​#AI #LLM #MultiAgentSystem
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  6. Applied Sciences MDPI✓@Applsci
    🔥 Read our Paper 📚 Finite-Time Pinning Event-Triggered Control for Bipartite Consensus of Hybrid-Order Heterogeneous Multi-Agent Systems with Antagonistic Links 🔗 👨‍🔬 by Xiangfeng Yu et al. #multiagentsystem
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  7. Cornelius Emde@CorEmde
    Today at #ACL2026, we are presenting out MASEval library for multi-agent system evaluation. @anmgoel is in San Diego to present poster and live demo! 📍Grand Hall | Session 3: Oral/Posters/Demos B 🕑Sunday 2pm-3.30pm #MultiAgentSystem #AI #AIAgents #ACL #Evaluation
    Cornelius Emde @CorEmde
    1/ Evaluating a single agent harness is hard. Evaluating a multi-agent system? That's a whole different problem. Most eval tools treat the model as the unit of analysis. But in multi-agent systems, the system is what matters. That's why we built MASEval 🧵 #Agents #AI #Eval
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  8. Cornelius Emde@CorEmde
    1/ Evaluating a single agent harness is hard. Evaluating a multi-agent system? That's a whole different problem. Most eval tools treat the model as the unit of analysis. But in multi-agent systems, the system is what matters. That's why we built MASEval 🧵 #Agents #AI #Eval
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  9. Sumeettt@SumeetBonde
    Built a Multi-Agent System (MAS) using CrewAI with two collaborating agents: a Chef Agent and Nutritionist Agent. The Chef creates diabetes-friendly recipes, and the Nutritionist verifies their nutritional suitability before recommendation ! #CrewAI #AgenticAI #MultiAgentSystem
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  10. RWI Synthetics@rwi_synthetics
    RWI's models generate #SyntheticData when data is unavailable. Synthetic Data is key in removing bias & making all issues & people visible. In fact, synthetic US census data generated by our models yields accurate US census data & so much more. #DataScience #MultiAgentSystem
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