Liquid AI
@liquidai
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Build efficient general-purpose AI at every scale.
Cambridge, MA
Joined March 2023
Introducing Liquid Nanos ⚛️ — a new family of extremely tiny task-specific models that deliver GPT-4o-class performance while running directly on phones, laptops, cars, embedded devices, and GPUs with the lowest latency and fastest generation speed. > model size: 350M to 2.6B >
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an incredible neurips, always better together! 🤝
Here's our @ShopifyEng Neurips2025 wrapped: ✅ Presented our work on Recommendation Foundation Models in partnership with @NVIDIAAI and @LiquidAI ✅ Announced Tangle, our open source ML experimentation platform ✅ 15 booth presentations on Sidekick, Tangle, our global catalogue,
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Today we introduce Liquid Labs, our advanced research unit, with the goal of understanding and building efficient and adaptive intelligence systems. Liquid Labs consolidates our existing research efforts at Liquid across architecture of foundation models, multimodality,
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Today we introduce Liquid Labs, our advanced research unit, with the goal of understanding and building efficient and adaptive intelligence systems. Liquid Labs consolidates our existing research efforts at Liquid across architecture of foundation models, multimodality,
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The @LiquidAI LFM2 Tech Report is now live! It's a 51-page behemoth 🐘 with the full recipe on how we pre-, mid-, and post-trained LFM2, across all modalities text, vision, and audio 🚀 📄 https://t.co/Fm90fRdLTa 🤗
huggingface.co
The LFM2 Tech Report is now live on arXiv! We share everything from our novel hardware-in-the-loop architecture design, pre-training, and knowledge distillation, to the post-training recipe for small models. > 🤗LFM2 class of models has over 3.3M downloads > ⚛️LFM2 nanos from
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The LFM2 Tech Report is now live on arXiv! We share everything from our novel hardware-in-the-loop architecture design, pre-training, and knowledge distillation, to the post-training recipe for small models. > 🤗LFM2 class of models has over 3.3M downloads > ⚛️LFM2 nanos from
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arXiv: https://t.co/89ga5nSlZu Download on Hugging Face: https://t.co/nAp9xMopPG Find us at NeurIPS where several members of our team will be giving talks diving deeper into how we designed and trained our LFM2s and more! Booth #1605.
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The LFM2 Tech Report is now live on arXiv! We share everything from our novel hardware-in-the-loop architecture design, pre-training, and knowledge distillation, to the post-training recipe for small models. > 🤗LFM2 class of models has over 3.3M downloads > ⚛️LFM2 nanos from
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This year at NeurIPS we got around 25 Liquid scientists joining the event with papers, presentations, and a big announcement. find us at the exhibition hall to learn more and to join our social event. 🌊
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and find us at our Neurips 2025 booth to learn more!
Shopify is heading to NeurIPS 2025 as a Diamond Sponsor! We’re partnering with @NvidiaAI and @LiquidAI_ for a "Foundational Generative Recommendations for E-Commerce" Expo Talk. Our team will share how we built generative recommenders using Liquid Foundation Models and custom
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Read more about the weekend: https://t.co/5YBwAeXQVc What could you build with LEAP?
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Honorable Mentions: Liquid DJ: Offline Shazam for music recognition during DJ sets by @adamanzzz Liquid AudioBook: Rapid Audio Book generation from physical books or scanned documents by @MinhaHwang and @defoemark
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What a weekend! We just wrapped an incredible two-day hackathon where 20 teams joined us in our SF office to build real-world applications using Liquid Foundation Models running on @AMD NUCs. The range of ideas and level of innovation were inspiring — creative builds, sharp
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From hands-on building to big conversations about the future of AI, this weekend’s Hack the Edge event was full of energy and innovation. A huge thank you to everyone who joined us, and to our friends at @LiquidAI_ for bringing brilliant minds together at their office in San
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Weekend hackathon mode: activated 👏 Excited to spend the weekend with the @LiquidAI_ team for Hack the Edge in San Francisco — two days of building, learning, and pushing the limits of what’s possible. Let’s go!
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