[DOCs] Fixing references for 2025.0 (#28765)

### Details: - *item1* - *...* ### Tickets: - *ticket-id* --------- Co-authored-by: sgolebiewski-intel <sebastianx.golebiewski@intel.com>
openvinotoolkit · Jan 31, 2025 · 92cb2d8 · 92cb2d8
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diff --git a/docs/articles_en/about-openvino/release-notes-openvino.rst b/docs/articles_en/about-openvino/release-notes-openvino.rst
@@ -105,7 +105,7 @@ Deprecation And Support
 Using deprecated features and components is not advised. They are available to enable a smooth
 transition to new solutions and will be discontinued in the future. To keep using discontinued
 features, you will have to revert to the last LTS OpenVINO version supporting them.
-For more details, refer to the `OpenVINO Legacy Features and Components <https://docs.openvino.ai/2024/documentation/legacy-features.html>__`
+For more details, refer to the `OpenVINO Legacy Features and Components <https://docs.openvino.ai/2025/documentation/legacy-features.html>__`
 page.
 
 

diff --git a/docs/articles_en/get-started/learn-openvino/openvino-samples/get-started-demos.rst b/docs/articles_en/get-started/learn-openvino/openvino-samples/get-started-demos.rst
@@ -262,7 +262,7 @@ You need a model that is specific for your inference task. You can get it from o
 Convert the Model
 --------------------
 
-If Your model requires conversion, check the `article <https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html>`__ for information how to do it.
+If Your model requires conversion, check the :doc:`article <../../../openvino-workflow/model-preparation>` for information how to do it.
 
 .. _download-media:
 

diff --git a/docs/notebooks/convert-to-openvino-with-output.rst b/docs/notebooks/convert-to-openvino-with-output.rst
@@ -54,7 +54,7 @@ OpenVINO IR format
 
 
 OpenVINO `Intermediate Representation
-(IR) <https://docs.openvino.ai/2024/documentation/openvino-ir-format.html>`__
+(IR) <https://docs.openvino.ai/2025/documentation/openvino-ir-format.html>`__
 is the proprietary model format of OpenVINO. It is produced after
 converting a model with model conversion API. Model conversion API
 translates the frequently used deep learning operations to their

diff --git a/docs/notebooks/cross-lingual-books-alignment-with-output.rst b/docs/notebooks/cross-lingual-books-alignment-with-output.rst
@@ -941,7 +941,7 @@ advance and fill it in as the inference requests are executed.
 Let’s compare the models and plot the results.
 
    **Note**: To get a more accurate benchmark, use the `Benchmark Python
-   Tool <https://docs.openvino.ai/2024/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__
+   Tool <https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__
 
 .. code:: ipython3
 

diff --git a/docs/notebooks/ct-segmentation-quantize-nncf-with-output.rst b/docs/notebooks/ct-segmentation-quantize-nncf-with-output.rst
@@ -623,7 +623,7 @@ Compare Performance of the FP32 IR Model and Quantized Models
 
 To measure the inference performance of the ``FP32`` and ``INT8``
 models, we use `Benchmark
-Tool <https://docs.openvino.ai/2024/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__
+Tool <https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__
 - OpenVINO’s inference performance measurement tool. Benchmark tool is a
 command line application, part of OpenVINO development tools, that can
 be run in the notebook with ``! benchmark_app`` or

diff --git a/docs/notebooks/ddcolor-image-colorization-with-output.rst b/docs/notebooks/ddcolor-image-colorization-with-output.rst
@@ -499,7 +499,7 @@ Compare inference time of the FP16 and INT8 models
 
 To measure the inference performance of OpenVINO FP16 and INT8 models,
 use `Benchmark
-Tool <https://docs.openvino.ai/2024/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__.
+Tool <https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__.
 
    **NOTE**: For the most accurate performance estimation, it is
    recommended to run ``benchmark_app`` in a terminal/command prompt

diff --git a/docs/notebooks/depth-anything-v2-with-output.rst b/docs/notebooks/depth-anything-v2-with-output.rst
@@ -977,7 +977,7 @@ Compare inference time of the FP16 and INT8 models
 
 To measure the inference performance of OpenVINO FP16 and INT8 models,
 use `Benchmark
-Tool <https://docs.openvino.ai/2024/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__.
+Tool <https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__.
 
    **NOTE**: For the most accurate performance estimation, it is
    recommended to run ``benchmark_app`` in a terminal/command prompt

diff --git a/docs/notebooks/depth-anything-with-output.rst b/docs/notebooks/depth-anything-with-output.rst
@@ -940,7 +940,7 @@ Compare inference time of the FP16 and INT8 models
 
 To measure the inference performance of OpenVINO FP16 and INT8 models,
 use `Benchmark
-Tool <https://docs.openvino.ai/2024/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__.
+Tool <https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/benchmark-tool.html>`__.
 
    **NOTE**: For the most accurate performance estimation, it is
    recommended to run ``benchmark_app`` in a terminal/command prompt