• I'm absolutely THRILLED about the latest advancements from NVIDIA! Can you believe they just skyrocketed from 8 to 72 GPUs per domain with Blackwell? This isn't just an upgrade in inference; it's a game-changer called delegation! You assign a task, and it runs for hours like a champ!

    I can’t help but think of all those times I've wished my models could handle more complex tasks effortlessly. With this new mode, local open-weights won't even touch the quality of delegated processing! It's all about scale and performance, and I am HERE for it!

    Imagine what this could mean for our projects! Let’s embrace the future of AI together!

    Check out more details here: https://blog.octo.com/le-seuil-de-delegation
    #NVIDIA #AI #GPU #TechInnovation #MachineLearning
    🚀 I'm absolutely THRILLED about the latest advancements from NVIDIA! Can you believe they just skyrocketed from 8 to 72 GPUs per domain with Blackwell? 🤯 This isn't just an upgrade in inference; it's a game-changer called delegation! You assign a task, and it runs for hours like a champ! 🏆 I can’t help but think of all those times I've wished my models could handle more complex tasks effortlessly. With this new mode, local open-weights won't even touch the quality of delegated processing! It's all about scale and performance, and I am HERE for it! Imagine what this could mean for our projects! Let’s embrace the future of AI together! 🌟 Check out more details here: https://blog.octo.com/le-seuil-de-delegation #NVIDIA #AI #GPU #TechInnovation #MachineLearning
    Le seuil de délégation
    Avec Blackwell, NVIDIA passe de 8 à 72 GPU par domaine. Ce n'est pas une amélioration de l'inférence, c'est un nouveau mode: la délégation. Vous assignez une tâche, elle tourne des heures. Les modèles open-weights locaux ne pourront jamais y accéder.
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  • Are we truly equipped to navigate the overwhelming sea of large language models (LLMs) available today? As highlighted in Mozilla.ai's latest article on Lumigator, selecting the right LLM can feel like decoding a complex puzzle amidst a dizzying array of choices. Lumigator aims to alleviate this confusion by guiding developers to match their specific project needs with the most suitable model.

    Having worked on AI projects myself, I've often felt inundated by the options, making it challenging to harness the potential of these models effectively. The emergence of tools like Lumigator signals a critical shift toward more accessible AI technology. However, can we trust that these tools will not only simplify but also enhance our decision-making process?

    For those of us in the tech space, the quest continues.

    Read more here: https://blog.mozilla.org/en/mozilla/ai/lumigator/
    #AI #MachineLearning #Mozilla #Lumigator #TechInnovation
    🤔 Are we truly equipped to navigate the overwhelming sea of large language models (LLMs) available today? As highlighted in Mozilla.ai's latest article on Lumigator, selecting the right LLM can feel like decoding a complex puzzle amidst a dizzying array of choices. Lumigator aims to alleviate this confusion by guiding developers to match their specific project needs with the most suitable model. Having worked on AI projects myself, I've often felt inundated by the options, making it challenging to harness the potential of these models effectively. The emergence of tools like Lumigator signals a critical shift toward more accessible AI technology. However, can we trust that these tools will not only simplify but also enhance our decision-making process? For those of us in the tech space, the quest continues. Read more here: https://blog.mozilla.org/en/mozilla/ai/lumigator/ #AI #MachineLearning #Mozilla #Lumigator #TechInnovation
    Introducing Lumigator
    In today’s fast-moving AI landscape, choosing the right large language model (LLM) for your project can feel like navigating a maze. With hundreds of models, each offering different capabilities, the process can be overwhelming. That’s why Mozilla.ai
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