
InclusionAI
@InclusionAI666
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Open-sourced projects conducted by Ant Group,including Ling,AReal,AWorld. Dedicated our efforts towards AGI,guided by fairness, transparency, and collaboration.
Joined March 2025
Meet AReaL-lite! A more efficient and customizable version for RL training .Try it out right now 🚀🚀🚀.
Tired intricate system code for RL training? 🤯 .We release AReaL-lite – A lightweight AReaL version for AI researchers! 🚀#opensource.✨ Algorithm-first design & APIs🎉.✨ 80% less code w. 90% AReaL's full efficiency 🎉.✨ Customizable agentic RL🎉.🔗
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🚀🚀🚀.
Ming-lite-omni v1.5 ranks top 1 of Hugging Face trending models(any to any) . Can't wait to hear your feedback after trying it out! @AdinaYakup.🤖Github:🤗Hugging Face:
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Go download our new modal,we’re looking forward for your feedback.🤗.
Ming-lite-omni v1.5 🔥 upgrade version of Ming-lite-omni, by @InclusionAI666 . ✨ 20.3B / 3B active - MoE.✨ SOTA video understanding via 3D MRoPE + curriculum learning.✨ Real time speech synthesis + dialect support.✨ Enhanced multimodal generation with.
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Reproduce IMO 2025 by AWorld right now!.
🚀 Built a Multi-Agent System in 6h — Solved 5/6 IMO 2025 Problems!. Inspired by “Gemini 2.5 Pro Capable of Winning Gold”, we validated its key insight: collective intelligence wins. We took this insight and, using our AWorld multi-agent framework, built a collective.
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RT @gujinjie: 🚀 Built a Multi-Agent System in 6h — Solved 5/6 IMO 2025 Problems!. Inspired by “Gemini 2.5 Pro Capable of Winning Gold”, we….
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Very helpful feedback, inclusionAI ranked 11 on Chinese Open Source Heatmap. Keep in touch with our open-sourced work. @zzqsmall @jxwuyi @gujinjie.
The Chinese Open Source Heatmap is live 🔥.You can now track the companies/ research labs/ communities powering China’s open source AI movement. Some highlights:. ✨Giant Tech are investing more in open source. -Alibaba: Full stack open ecosystem.
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Agent is just get started, GAIA isn’t over.👇This is AWorld’s answer. Talk to AWorld team 🚀.
🎉 AWorld just hit Top 5 on the GAIA Test Leaderboard! Proud to be the #1 open-source project—and the only one in GAIA's top 10. GAIA taught us a lot, especially that self-improving general agent remains an open challenge. Some say, "The GAIA game is over," but we strongly
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Remarkable work on reasoning model🚀.
🚀 Meet Ring-lite! Our newly open-sourced lightweight reasoning model that achieves SOTA performance while maintaining exceptional efficiency. Built upon the Ling-lite-1.5 MoE architecture (16.8B total params, 2.75B active), Ring-lite matches the performance of dense models 3x.
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RT @AntLing20041208: 🚀 Meet Ming-Omni! Our new open-sourced unified multimodal model series (including Ming-lite-omni and Ming-plus-omni),….
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RT @AntLing20041208: We will continue to optimize our work,please stay tuned with Ming-Omni series.
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#AReaL We will keeps pushing the RL study on the frontier this year. 😃.
Reinforcement Learning (RL) is a fundamental component in training large language models, typically involving massive parallelization of alternating tasks: LLM training and model generation. A massive advancement in the efficiency of RL has been shared by Tsinghua University (at.
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AReaL boba² is a significant upgrade of AReaL boba,notably introduced Asynchronous RL and achieved meaningful breakthroughs. Hope they can assist your reproduction work.
We release fully async RL system AReaL-boba² for LLM & SOTA code RL w. Qwen3-14B! @Alibaba_Qwen #opensource .🚀system&algorithm co-design → 2.77x faster .✅ 69.1 on LiveCodeBench .🔥 multi-turn RL ready.🔗 Project: 📄 Paper: 1/3👇
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Our new work on unified multimodal model,looking for your feedback.
🚀 Meet Ming-Omni! Our new open-sourced unified multimodal model series (including Ming-lite-omni and Ming-plus-omni), which are capable of processing images, text, audio, and video, while demonstrating strong proficiency in both speech and image generation. 🔥 This release:
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