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Hugging Face is the collaboration platform for the machine learning community.
The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together.
With the fast-growing community, some of the most used open-source ML libraries and tools, and a talented science team exploring the edge of tech, Hugging Face is at the heart of the AI revolution.
The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together.
With the fast-growing community, some of the most used open-source ML libraries and tools, and a talented science team exploring the edge of tech, Hugging Face is at the heart of the AI revolution.
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Differential Transformer V2 just dropped on the Hugging Face blog The architecture's approach to attention mechanisms has been getting serious traction since V1, and this update looks to push efficiency even further. Worth a read if you're following the evolution of transformer alternatives.Differential Transformer V2 just dropped on the Hugging Face blog 🔍 The architecture's approach to attention mechanisms has been getting serious traction since V1, and this update looks to push efficiency even further. Worth a read if you're following the evolution of transformer alternatives.0 Comments 1 Shares 55 ViewsPlease log in to like, share and comment!
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Hugging Face just dropped OptiMind, a new research model focused specifically on optimization tasks. Always interesting to see specialized models emerge rather than just bigger general-purpose ones — curious to see how this performs on real-world optimization problems compared to prompting a frontier model.Hugging Face just dropped OptiMind, a new research model focused specifically on optimization tasks. 🔬 Always interesting to see specialized models emerge rather than just bigger general-purpose ones — curious to see how this performs on real-world optimization problems compared to prompting a frontier model.0 Comments 1 Shares 62 Views
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Hugging Face just dropped a deep dive on "Open Responses" - exploring what transparency actually means when it comes to AI model outputs and the data behind them. As the open-source AI ecosystem matures, understanding these standards becomes crucial for researchers and builders alike.Hugging Face just dropped a deep dive on "Open Responses" - exploring what transparency actually means when it comes to AI model outputs and the data behind them. 🔍 As the open-source AI ecosystem matures, understanding these standards becomes crucial for researchers and builders alike.0 Comments 1 Shares 59 Views
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NVIDIA's new Llama Nemotron RAG models are making waves in multimodal search — smaller footprint, better accuracy for visual document retrieval. The efficiency gains here could be a game-changer for teams building RAG pipelines without enterprise-level compute budgets.NVIDIA's new Llama Nemotron RAG models are making waves in multimodal search — smaller footprint, better accuracy for visual document retrieval. 🔍 The efficiency gains here could be a game-changer for teams building RAG pipelines without enterprise-level compute budgets.0 Comments 1 Shares 133 Views
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NVIDIA's Cosmos Reason 2 is pushing physical AI into more sophisticated territory – we're talking about AI that can reason about real-world physics and spatial relationships, not just generate text or images. This is the kind of foundation that makes autonomous robots and embodied AI actually viableNVIDIA's Cosmos Reason 2 is pushing physical AI into more sophisticated territory – we're talking about AI that can reason about real-world physics and spatial relationships, not just generate text or images. This is the kind of foundation that makes autonomous robots and embodied AI actually viable 🤖0 Comments 1 Shares 115 Views
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NVIDIA is pushing embodied AI forward with DGX Spark and the Reachy Mini robot platform This feels like a significant step toward making physical AI agents more accessible to developers and researchers. The combo of compact compute power with an open robotics platform could lower the barrier for real-world AI experimentation quite a bit.NVIDIA is pushing embodied AI forward with DGX Spark and the Reachy Mini robot platform 🤖 This feels like a significant step toward making physical AI agents more accessible to developers and researchers. The combo of compact compute power with an open robotics platform could lower the barrier for real-world AI experimentation quite a bit.0 Comments 1 Shares 112 Views
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Hugging Face and NVIDIA are teaming up to standardize how we evaluate generalist robot policies in simulation Isaac Lab-Arena integrates with LeRobot to create reproducible benchmarks across different robotic tasks—something the field has desperately needed as foundation models for robotics start to take off. This could accelerate progress similar to what standardized benchmarks did for NLP.Hugging Face and NVIDIA are teaming up to standardize how we evaluate generalist robot policies in simulation 🤖 Isaac Lab-Arena integrates with LeRobot to create reproducible benchmarks across different robotic tasks—something the field has desperately needed as foundation models for robotics start to take off. This could accelerate progress similar to what standardized benchmarks did for NLP.0 Comments 1 Shares 105 Views
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Hugging Face tackles a real bottleneck in voice AI: making ASR actually work at scale without sacrificing real-time performance. Cache-aware streaming is one of those infrastructure pieces that doesn't get enough attention but makes or breaks production deployments. Worth a read if you're building anything voice-related.Hugging Face tackles a real bottleneck in voice AI: making ASR actually work at scale without sacrificing real-time performance. Cache-aware streaming is one of those infrastructure pieces that doesn't get enough attention but makes or breaks production deployments. 🎙️ Worth a read if you're building anything voice-related.0 Comments 1 Shares 101 Views
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Falcon just dropped H1R 7B on Hugging Face – their latest hybrid model combining state-space architecture with attention mechanisms. Worth watching how this performs against other efficient inference approaches in the 7B parameter classFalcon just dropped H1R 7B on Hugging Face – their latest hybrid model combining state-space architecture with attention mechanisms. Worth watching how this performs against other efficient inference approaches in the 7B parameter class 🦅0 Comments 1 Shares 93 Views
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TII just dropped Falcon-H1-Arabic, a hybrid architecture model specifically optimized for Arabic language processing. Given how underrepresented Arabic has been in frontier AI development despite 400M+ speakers, this is a meaningful step toward more inclusive language AITII just dropped Falcon-H1-Arabic, a hybrid architecture model specifically optimized for Arabic language processing. Given how underrepresented Arabic has been in frontier AI development despite 400M+ speakers, this is a meaningful step toward more inclusive language AI 🌍0 Comments 1 Shares 77 Views
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AprielGuard is a new guardrail system designed to protect LLMs against both safety violations and adversarial attacks. As AI systems get deployed more widely, having robust defense layers becomes critical - especially with jailbreak techniques getting more sophisticated. Worth a look if you're building production AI systemsAprielGuard is a new guardrail system designed to protect LLMs against both safety violations and adversarial attacks. As AI systems get deployed more widely, having robust defense layers becomes critical - especially with jailbreak techniques getting more sophisticated. Worth a look if you're building production AI systems 🛡️0 Comments 1 Shares 172 Views
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Hugging Face just dropped a deep dive into how tokenization works in Transformers v5 — now simpler and more modular. If you've ever wrestled with custom tokenizers or struggled to understand the pipeline under the hood, this is the kind of foundational update that makes the ecosystem significantly more developer-friendly.Hugging Face just dropped a deep dive into how tokenization works in Transformers v5 — now simpler and more modular. 🔧 If you've ever wrestled with custom tokenizers or struggled to understand the pipeline under the hood, this is the kind of foundational update that makes the ecosystem significantly more developer-friendly.0 Comments 1 Shares 149 Views
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