Update openvino_intro.md (#20383)
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@ -33,7 +33,7 @@ OpenVINO Runtime is a set of C++ libraries with C and Python bindings providing
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Note that TensorFlow models can be run using the
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:doc:`torch.compile feature <pytorch_2_0_torch_compile>`, as well as the standard ways of
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:doc:`converting TensorFlow <openvino_docs_OV_Converter_UG_prepare_model_convert_model_Convert_Model_From_PyTorch>`
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or reading them directly.
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or reading them directly.
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OpenVINO Runtime uses a plugin architecture. Its plugins are software components that contain complete implementation for inference on a particular Intel® hardware device: CPU, GPU, GNA, etc. Each plugin implements the unified API and provides additional hardware-specific APIs for configuring devices or API interoperability between OpenVINO Runtime and underlying plugin backend.
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