Update docs (#21326)

docs/articles_en/get_started/installing-openvino-overview/installing-openvino-shared/installing-openvino-conan.md

@@ -43,7 +43,7 @@ Installing OpenVINO Runtime with Conan Package Manager
 
    .. code-block:: sh
 
-      python3 -m pip install conan
+      python3 -m pip install conan>=2.0.8
 
 2. Create a ``conanfile.txt`` file for your OpenVINO project and add "*openvino*" dependency in there:
 

docs/articles_en/get_started/installing-openvino-overview/installing-openvino-shared/installing-openvino-pip.md

@@ -113,7 +113,7 @@ Run the command below:
 
 .. code-block:: sh
 
-   python -c "from openvino.runtime import Core; print(Core().available_devices)"
+   python -c "from openvino import Core; print(Core().available_devices)"
 
 If installation was successful, you will see the list of available devices.
 

docs/articles_en/get_started/troubleshooting.md

@@ -149,7 +149,7 @@
 
    .. code-block:: sh
 
-      python -c "from openvino.runtime import Core; print(Core().available_devices)"
+      python -c "from openvino import Core; print(Core().available_devices)"
       
    If OpenVINO was successfully installed, you will see a list of available devices.
 

docs/articles_en/openvino_workflow/model_optimization_guide/ptq_introduction/quantization_w_accuracy_control.md

@@ -33,7 +33,7 @@ This step is similar to the :doc:`Basic 8-bit quantization <basic_quantization_f
 Prepare validation function
 ############################
 
-Validation function receives ``openvino.runtime.CompiledModel`` object and validation dataset and returns accuracy metric value. The following code snippet shows an example of validation function for OpenVINO model:
+Validation function receives ``openvino.CompiledModel`` object and validation dataset and returns accuracy metric value. The following code snippet shows an example of validation function for OpenVINO model:
 
 .. tab-set::
 

docs/articles_en/openvino_workflow/model_preparation/Convert_Model_From_PyTorch.md

@@ -93,7 +93,7 @@ Supported Input Parameter Types
 
 If the model has a single input, the following input types are supported in ``example_input``:
 
-* ``openvino.runtime.Tensor``
+* ``openvino.Tensor``
 * ``torch.Tensor``
 * ``tuple`` or any nested combination of tuples
 

docs/articles_en/openvino_workflow/model_preparation/supported_model_formats.md

@@ -190,11 +190,11 @@ Here are code examples of how to use these methods with different model formats:
          .. tab-item:: CLI
             :sync: cli
 
-            You can use ``mo`` command-line tool to convert a model to IR. The obtained IR can then be read by ``read_model()`` and inferred.
+            You can use ``ovc`` command-line tool to convert a model to IR. The obtained IR can then be read by ``read_model()`` and inferred.
 
             .. code-block:: sh
 
-               mo --input_model <INPUT_MODEL>.pb
+               ovc <INPUT_MODEL>.pb
 
             For details on the conversion, refer to the
             :doc:`article <openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow>`.
@@ -312,7 +312,7 @@ Here are code examples of how to use these methods with different model formats:
 
               .. code-block:: sh
 
-                 mo --input_model <INPUT_MODEL>.tflite
+                 ovc <INPUT_MODEL>.tflite
 
               For details on the conversion, refer to the
               :doc:`article <openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow_Lite>`.
@@ -427,7 +427,7 @@ Here are code examples of how to use these methods with different model formats:
 
               .. code-block:: sh
 
-                 mo --input_model <INPUT_MODEL>.onnx
+                 ovc <INPUT_MODEL>.onnx
 
               For details on the conversion, refer to the
               :doc:`article <openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_ONNX>`
@@ -549,7 +549,7 @@ Here are code examples of how to use these methods with different model formats:
 
               .. code-block:: sh
 
-                 mo --input_model <INPUT_MODEL>.pdmodel
+                 ovc <INPUT_MODEL>.pdmodel
 
               For details on the conversion, refer to the
               :doc:`article <openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_Paddle>`.

docs/articles_en/openvino_workflow/openvino_intro/Device_Plugins/GNA.md

@@ -241,7 +241,7 @@ With the following methods, you can collect profiling information with various p
    .. tab-item:: Python
       :sync: py
    
-      ``openvino.runtime.InferRequest.get_profiling_info``
+      ``openvino.InferRequest.get_profiling_info``
 
    .. tab-item:: C++
       :sync: cpp

docs/install_guides/pypi-openvino-dev.md

@@ -107,7 +107,7 @@ For example, to install and configure the components for working with TensorFlow
 
 - To verify that OpenVINO Runtime from the **runtime package** is available, run the command below:
    ```sh
-   python -c "from openvino.runtime import Core; print(Core().available_devices)"
+   python -c "from openvino import Core; print(Core().available_devices)"
    ```
    If installation was successful, you will see a list of available devices.
 

docs/install_guides/pypi-openvino-rt.md

@@ -66,7 +66,7 @@ Run the command below: <br>
 
 Run the command below:
 ```sh
-python -c "from openvino.runtime import Core; print(Core().available_devices)"
+python -c "from openvino import Core; print(Core().available_devices)"
 ```
 
 If installation was successful, you will see the list of available devices.