Fix Neural Magic links (#9144)

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Glenn Jocher 2024-03-19 22:08:39 -07:00 committed by GitHub
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@ -13,7 +13,7 @@ This guide shows you how to deploy YOLOv8 using Neural Magic's DeepSparse, how t
## Neural Magics DeepSparse
<p align="center">
<img width="640" src="https://docs.neuralmagic.com/archive/docs/source/infographics/deepsparse.png" alt="Neural Magics DeepSparse Overview">
<img width="640" src="https://docs.neuralmagic.com/assets/images/nm-flows-55d56c0695a30bf9ecb716ea98977a95.png" alt="Neural Magics DeepSparse Overview">
</p>
[Neural Magics DeepSparse](https://neuralmagic.com/deepsparse/) is an inference run-time designed to optimize the execution of neural networks on CPUs. It applies advanced techniques like sparsity, pruning, and quantization to dramatically reduce computational demands while maintaining accuracy. DeepSparse offers an agile solution for efficient and scalable neural network execution across various devices.

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@ -52,7 +52,7 @@ Sparse networks with compressed computation, executed depth-wise in cache, allow
Neural Magic's open-source model repository, SparseZoo, contains pre-sparsified checkpoints of each YOLOv5 model. Using SparseML, which is integrated with Ultralytics, you can fine-tune a sparse checkpoint onto your data with a single CLI command.
[Checkout Neural Magic's YOLOv5 documentation for more details](https://docs.neuralmagic.com/use-cases/object-detection/sparsifying).
[Checkout Neural Magic's YOLOv5 documentation for more details](https://docs.neuralmagic.com/computer-vision/object-detection/).
## DeepSparse Usage