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Docs improvements and redirect fixes (#16287)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-09-15 00:27:46 +02:00 • committed by GitHub
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docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md
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@ -121,8 +121,8 @@ Using OpenVINO's high-level performance hints and multi-device modes can help st
Yes, Ultralytics YOLO models are highly versatile and can be integrated with various AI frameworks. Options include:
- **TensorRT:** For NVIDIA GPU optimization, follow the [TensorRT integration guide](https://docs.ultralytics.com/integrations/tensorrt).
- **CoreML:** For Apple devices, refer to our [CoreML export instructions](https://docs.ultralytics.com/integrations/coreml).
- **TensorFlow.js:** For web and Node.js apps, see the [TF.js conversion guide](https://docs.ultralytics.com/integrations/tfjs).
- **TensorRT:** For NVIDIA GPU optimization, follow the [TensorRT integration guide](https://docs.ultralytics.com/integrations/tensorrt/).
- **CoreML:** For Apple devices, refer to our [CoreML export instructions](https://docs.ultralytics.com/integrations/coreml/).
- **TensorFlow.js:** For web and Node.js apps, see the [TF.js conversion guide](https://docs.ultralytics.com/integrations/tfjs/).
Explore more integrations on the [Ultralytics Integrations page](https://docs.ultralytics.com/integrations).
Explore more integrations on the [Ultralytics Integrations page](https://docs.ultralytics.com/integrations/).