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[DOCS] post-release polishing (#28851)
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Co-authored-by: sgolebiewski-intel <sebastianx.golebiewski@intel.com>
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kblaszczak-intel and sgolebiewski-intel authored Feb 6, 2025
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Expand Up @@ -38,7 +38,7 @@ and TensorFlow models during training.

| **OpenVINO Model Server**
| :bdg-link-dark:`GitHub <https://github.com/openvinotoolkit/model_server>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/ovms_what_is_openvino_model_server.html>`
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/openvino-workflow/model-server/ovms_what_is_openvino_model_server.html>`
A high-performance system that can be used to access the host models via request to the model
server.
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Expand Up @@ -223,7 +223,7 @@ to learn more about the release types.
gcc -v
.. tab-item:: macOS
:name: archive-win-sysreq
:name: archive-mac-sysreq

* `CMake 3.13 or higher <https://cmake.org/download/>`__ (choose "macOS 10.13 or later"). Add ``/Applications/CMake.app/Contents/bin`` to path (for default install).
* `Python 3.9 - 3.12 <https://www.python.org/downloads/mac-osx/>`__ (choose 3.9 - 3.12). Install and add to path.
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Expand Up @@ -118,7 +118,7 @@ Operation Specifications
IsNaN-10 <operation-specs/comparison/isnan-10>
LRN-1 <operation-specs/normalization/lrn-1>
LSTMCell-1 <operation-specs/sequence/lstm-cell-1>
LSTMSequence-1 <operation-specs/sequence/lstm-sequence-1>
LSTMSequence-5 <operation-specs/sequence/lstm-sequence-5>
LessEqual-1 <operation-specs/comparison/lessequal-1>
Less-1 <operation-specs/comparison/less-1>
Log-1 <operation-specs/arithmetic/log-1>
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Expand Up @@ -72,13 +72,6 @@ Step 1: Set Up the OpenVINO Toolkit APT Repository
echo "deb https://apt.repos.intel.com/openvino/2025 ubuntu20 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list
.. tab-item:: Ubuntu 18
:sync: ubuntu-18

.. code-block:: sh
echo "deb https://apt.repos.intel.com/openvino/2025 ubuntu18 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list
3. Update the list of packages via the update command:

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2 changes: 1 addition & 1 deletion docs/articles_en/openvino-workflow/deployment-locally.rst
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Expand Up @@ -43,7 +43,7 @@ The table below shows which distribution type can be used for what target operat
* - Distribution type
- Operating systems
* - Debian packages
- Ubuntu 18.04, 20.04, 22.04, 24.04 (64-bit)
- 20.04, 22.04, 24.04 (64-bit)
* - RPM packages
- Red Hat Enterprise Linux 8, 64-bit
* - Docker images
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5 changes: 2 additions & 3 deletions docs/sphinx_setup/index.rst
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Expand Up @@ -37,8 +37,8 @@ hardware and environments, on-premises and on-device, in the browser or in the c
</li>
<li id="ov-homepage-slide3" class="splide__slide">
<p class="ov-homepage-slide-title">Improved model serving</p>
<p class="ov-homepage-slide-subtitle">OpenVINO Model Server has improved parallel inferencing!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2025/ovms_what_is_openvino_model_server.html">Learn more</a>
<p class="ov-homepage-slide-subtitle">OpenVINO Model Server has improved parallel inference!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2025/openvino-workflow/model-server/ovms_what_is_openvino_model_server.html">Learn more</a>
</li>
<li id="ov-homepage-slide4" class="splide__slide">
<p class="ov-homepage-slide-title">OpenVINO via PyTorch 2.0 torch.compile()</p>
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:hidden:

GET STARTED <get-started>
LEARN OPENVINO <learn-openvino>
HOW TO USE - MAIN WORKFLOW <openvino-workflow>
HOW TO USE - GENERATIVE AI WORKFLOW <openvino-workflow-generative>
REFERENCE DOCUMENTATION <documentation>
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