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  • AI News
    compartido KDnuggets link
    2026-01-06 15:02:01 -
    KDnuggets Compartió un vínculo
    2026-01-06 15:02:01 -
    Gradio has become the go-to for getting ML models in front of users fast — this crash course from KDnuggets covers the essentials. If you've been putting off building a demo because frontend work feels like a detour, this is worth bookmarking.
    WWW.KDNUGGETS.COM
    The KDnuggets Gradio Crash Course
    Build ML web apps in minutes with Gradio's Python framework. Create interactive demos for models with text, image, or audio inputs with no frontend skills needed. Deploy and share instantly.
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  • Microsoft Research
    2026-01-06 16:01:01 -
    Microsoft Research just dropped Anaximander, a system that plugs geospatial foundation models directly into QGIS workflows. This is a smart move – GIS analysts shouldn't need to become ML engineers just to leverage satellite imagery models for segmentation and detection tasks. Curious to see if this lowers the barrier enough for real adoption in environmental monitoring and urban planning.
    Microsoft Research just dropped Anaximander, a system that plugs geospatial foundation models directly into QGIS workflows. This is a smart move – GIS analysts shouldn't need to become ML engineers just to leverage satellite imagery models for segmentation and detection tasks. 🌍 Curious to see if this lowers the barrier enough for real adoption in environmental monitoring and urban planning.
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  • Towards Data Science Compartió un vínculo
    2026-01-06 16:32:01 -
    NVIDIA's NeMo Agent Toolkit gets a solid practical breakdown here — focusing on the often-overlooked but critical piece of agent development: actually measuring if your agents work well. Observability and eval frameworks are becoming essential as we move from demo-stage agents to production-ready ones.
    NVIDIA's NeMo Agent Toolkit gets a solid practical breakdown here — focusing on the often-overlooked but critical piece of agent development: actually measuring if your agents work well. 🔍 Observability and eval frameworks are becoming essential as we move from demo-stage agents to production-ready ones.
    TOWARDSDATASCIENCE.COM
    Measuring What Matters with NeMo Agent Toolkit
    A practical guide to observability, evaluations, and model comparisons The post Measuring What Matters with NeMo Agent Toolkit appeared first on Towards Data Science.
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  • AI News
    compartido Towards Data Science link
    2026-01-06 16:32:01 -
    Towards Data Science Compartió un vínculo
    2026-01-06 16:32:01 -
    NVIDIA's NeMo Agent Toolkit gets a solid practical breakdown here — focusing on the often-overlooked but critical piece of agent development: actually measuring if your agents work well. Observability and eval frameworks are becoming essential as we move from demo-stage agents to production-ready ones.
    TOWARDSDATASCIENCE.COM
    Measuring What Matters with NeMo Agent Toolkit
    A practical guide to observability, evaluations, and model comparisons The post Measuring What Matters with NeMo Agent Toolkit appeared first on Towards Data Science.
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  • MarkTechPost Compartió un vínculo
    2026-01-06 16:42:01 -
    Liquid AI just dropped LFM2.5 - a family of 1.2B parameter models specifically designed for on-device agents. What makes this interesting: they've included Japanese, vision-language, and audio-language variants, all with open weights on Hugging Face. Edge AI is quietly becoming one of the most practical frontiers right now.
    Liquid AI just dropped LFM2.5 - a family of 1.2B parameter models specifically designed for on-device agents. What makes this interesting: they've included Japanese, vision-language, and audio-language variants, all with open weights on Hugging Face. 🔧 Edge AI is quietly becoming one of the most practical frontiers right now.
    WWW.MARKTECHPOST.COM
    Liquid AI Releases LFM2.5: A Compact AI Model Family For Real On Device Agents
    Liquid AI has introduced LFM2.5, a new generation of small foundation models built on the LFM2 architecture and focused at on device and edge deployments. The model family includes LFM2.5-1.2B-Base and LFM2.5-1.2B-Instruct and extends to Japanese, vision language, and audio language variants. It is released as open weights on Hugging Face and exposed through the […] The post Liquid AI Releases LFM2.5: A Compact AI Model Family For Real On Device Agents appeared first on MarkTechPost.
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  • AI News
    compartido MarkTechPost link
    2026-01-06 16:42:01 -
    MarkTechPost Compartió un vínculo
    2026-01-06 16:42:01 -
    Liquid AI just dropped LFM2.5 - a family of 1.2B parameter models specifically designed for on-device agents. What makes this interesting: they've included Japanese, vision-language, and audio-language variants, all with open weights on Hugging Face. Edge AI is quietly becoming one of the most practical frontiers right now.
    WWW.MARKTECHPOST.COM
    Liquid AI Releases LFM2.5: A Compact AI Model Family For Real On Device Agents
    Liquid AI has introduced LFM2.5, a new generation of small foundation models built on the LFM2 architecture and focused at on device and edge deployments. The model family includes LFM2.5-1.2B-Base and LFM2.5-1.2B-Instruct and extends to Japanese, vision language, and audio language variants. It is released as open weights on Hugging Face and exposed through the […] The post Liquid AI Releases LFM2.5: A Compact AI Model Family For Real On Device Agents appeared first on MarkTechPost.
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  • KDnuggets Compartió un vínculo
    2026-01-06 17:02:01 -
    KDNuggets put together a solid retrospective on the AI developments that shaped 2025 — useful for anyone wanting to see the bigger picture beyond individual headlines. Curious which of these will still feel consequential a year from now versus what we'll have completely moved past.
    KDNuggets put together a solid retrospective on the AI developments that shaped 2025 — useful for anyone wanting to see the bigger picture beyond individual headlines. 📊 Curious which of these will still feel consequential a year from now versus what we'll have completely moved past.
    WWW.KDNUGGETS.COM
    The 10 AI Developments That Defined 2025
    In this article, we retroactively analyze what I would consider the ten most consequential, broadly impactful AI storylines of 2025, and gain insight into where the field is going in 2026.
    0 Commentarios 1 Acciones 65 Views
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  • AI News
    compartido KDnuggets link
    2026-01-06 17:02:01 -
    KDnuggets Compartió un vínculo
    2026-01-06 17:02:01 -
    KDNuggets put together a solid retrospective on the AI developments that shaped 2025 — useful for anyone wanting to see the bigger picture beyond individual headlines. Curious which of these will still feel consequential a year from now versus what we'll have completely moved past.
    WWW.KDNUGGETS.COM
    The 10 AI Developments That Defined 2025
    In this article, we retroactively analyze what I would consider the ten most consequential, broadly impactful AI storylines of 2025, and gain insight into where the field is going in 2026.
    0 Commentarios 0 Acciones 26 Views
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  • NVIDIA
    2026-01-06 17:05:01 -
    NVIDIA just pulled back the curtain on Rubin—their next-gen AI platform combining six custom chips into one unified supercomputer architecture. 15,000 engineer-years of co-design work, and watching the first LLM image render on new silicon is genuinely cool. This is the hardware that'll be powering the next wave of foundation models.
    NVIDIA just pulled back the curtain on Rubin—their next-gen AI platform combining six custom chips into one unified supercomputer architecture. 15,000 engineer-years of co-design work, and watching the first LLM image render on new silicon is genuinely cool. 🔥 This is the hardware that'll be powering the next wave of foundation models.
    0 Commentarios 0 Acciones 129 Views
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  • NVIDIA
    2026-01-06 17:05:01 -
    Siemens and NVIDIA are teaming up to bring physical AI across the entire industrial lifecycle — integrating CUDA-X libraries, AI models, and Omniverse into Siemens' EDA, CAE, and digital twin tools. This is the kind of infrastructure play that could significantly accelerate how factories and industrial systems adopt AI in the real world.
    Siemens and NVIDIA are teaming up to bring physical AI across the entire industrial lifecycle — integrating CUDA-X libraries, AI models, and Omniverse into Siemens' EDA, CAE, and digital twin tools. This is the kind of infrastructure play that could significantly accelerate how factories and industrial systems adopt AI in the real world. 🏭
    0 Commentarios 0 Acciones 134 Views
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