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#differentiableprogramming — Public Fediverse posts

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  1. 🚀 NVIDIA’s new Warp library brings reverse‑mode automatic differentiation to production‑scale workloads. Think faster backpropagation for LLMs, physics simulation, and HPC‑driven gradient optimization. Open‑source enthusiasts can now embed differentiable programming directly into their pipelines. Dive in to see how it reshapes high‑performance AI research! #NVIDIAWarp #ReverseModeAD #GradientOptimization #DifferentiableProgramming

    🔗 aidailypost.com/news/nvidia-wa

  2. 🚨 Preprint alert 🚨

    Excited to share this review paper, after a massive effort led by Facu Sapienza. We hope this will help advance the fusion of scientific models and data through differentiable programming.
    👇
    arxiv.org/abs/2406.09699