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README.md

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@@ -151,9 +151,9 @@ If you'd like to quickly train a model using the Python interface, follow these
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For additional information, see the [HugeCTR User Guide](docs/hugectr_user_guide.md).
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## HugeCTR SDK ##
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To support the users who cannot use HugeCTR directly, we exports several important components in HugeCTR to external developers as SDK.
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To support the users who cannot use HugeCTR directly, we export several important components in HugeCTR to external developers as SDK.
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* [Sparse Operation Kit](sparse_operation_kit): a python package wrapped GPU accelerated operations dedicated for sparse training / inference cases.
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* [GPU Embedding Cache](gpu_cache): a embedding cache on GPU memory designed for CTR inference workload
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* [GPU Embedding Cache](gpu_cache): a embedding cache on GPU memory designed for CTR inference workload.
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## Support and Feedback ##
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If you encounter any issues and/or have questions, please file an issue [here](https://github.com/NVIDIA/HugeCTR/issues) so that we can provide you with the necessary resolutions and answers. To further advance the Merlin/HugeCTR Roadmap, we encourage you to share all the details regarding your recommender system pipeline using this [survey](https://developer.nvidia.com/merlin-devzone-survey).

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