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Source channel @githubtrending · Post #15536 · Mar 3

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#python#agent#chatbot#large_language_models#llm#llm_agent#mcp#multi_agent#multi_modal#react_agent AgentScope is a simple, production-ready framework to build AI agents fast. Install with `pip install agentscope` (Python 3.10+), then create ReAct agents with tools, memory, voice, human steering, multi-agent workflows, and finetuning in 5 minutes. It supports realtime voice, A2A protocols, RL training, and easy deployment locally, in cloud, or Kubernetes. You benefit by quickly making robust, scalable agents for tasks like games, research, or chats without complex coding, saving time and enabling real-world apps. https://github.com/agentscope-ai/agentscope

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ФГБУН Институт высокотемпературной электрохимии УрО РАН

@ihteubras · Post #103 · 10/11/2022, 03:31 AM

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Новая работа для регулярного выпуска👇 🟢 2022 🟢 V. 9 🟢 Issue 4 🟢 No. 20229414🟢 Article 📜 Novel Nb5+-doped hexagonal perovskite Ba5In2Al2ZrO13 (structure, hydration, electrical conductivity) 👩‍🎓👨‍🎓 R.D. Andreev (https://orcid.org/0000-0001-7131-0442), D.V. Korona (https://orcid.org/0000-0001-5422-717X), I.A. Anokhina (https://orcid.org/0000-0002-4223-6201), I.E. Animitsa (https://orcid.org/0000-0002-0757-9241) 🏛 Ural Federal University, https://urfu.ru/en@urfu_ru 🏛 Institute of High Temperature Electrochemistry, http://www.ihte.uran.ru/?page_id=3106 @ihteubras 📚#hexagonal#perovskite#proton#conductivity#hydration#transport 🔗https://doi.org/10.15826/chimtech.2022.9.4.14 https://journals.urfu.ru/index.php/chimtech/article/view/6200

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#hexagonal#perovskite#proton#conductivity#hydration#transport