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[DOCS] release final touches (openvinotoolkit#25034)
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kblaszczak-intel authored and allnes committed Jun 26, 2024
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Expand Up @@ -35,6 +35,8 @@ by OpenVINO may also work properly.


| Note:
| The results as of June 17 2024, for OpenVINO version 2024.2.
| The validation process involves using OpenVINO, natively or as a backend, to load each model
onto the designated hardware and execute inference. If no errors are reported and inference
finishes, the model receives the **passed** status (indicated by a check mark in the table).
Expand All @@ -43,5 +45,5 @@ by OpenVINO may also work properly.
| The models come from different public model repositories, such as, OpenVINO Model Zoo,
ONNX Model Zoo, Pytorch Model Zoo, and HuggingFace.
| In the precision column, optimum-intel default corresponds to FP32 for small models and INT8
for models greater than 1B parameters.
| In the precision column, the "optimum-intel default" label corresponds to FP32 for small
models and INT8 for models greater than 1B parameters.
7 changes: 4 additions & 3 deletions docs/articles_en/about-openvino/release-notes-openvino.rst
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Python Custom Operation empowers users to implement their own specialized operations into
any model.
* Notebooks expansion to ensure better coverage for new models. Noteworthy notebooks added:
DynamiCrafter, YOLOv10, and Chatbot notebook with Phi-3.
DynamiCrafter, YOLOv10, Chatbot notebook with Phi-3, and QWEN2.


* Broader Large Language Model (LLM) support and more model compression techniques.
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* Model Serving Enhancements:

* OpenVINO Model Server (OVMS) now supports OpenAI-compatible API along with Continuous
* Preview: OpenVINO Model Server (OVMS) now supports OpenAI-compatible API along with Continuous
Batching and PagedAttention, enabling significantly higher throughput for parallel
inferencing, especially on Intel® Xeon® processors, when serving LLMs to many concurrent
users.
Expand All @@ -61,13 +61,14 @@ What's new
* Integration of TorchServe through torch.compile OpenVINO backend for easy model deployment,
provisioning to multiple instances, model versioning, and maintenance.

* Addition of the Generate API, a simplified API for text generation using large language
* Preview: addition of the Generate API, a simplified API for text generation using large language
models with only a few lines of code. The API is available through the newly launched
OpenVINO GenAI package.
* Support for Intel Atom® Processor X Series. For more details, see :doc:`System Requirements <./release-notes-openvino/system-requirements>`.
* Preview: Support for Intel® Xeon® 6 processor.



OpenVINO™ Runtime
+++++++++++++++++++++++++++++

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25 changes: 8 additions & 17 deletions docs/sphinx_setup/index.rst
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Expand Up @@ -14,6 +14,7 @@ and on-device, in the browser or in the cloud.
Check out the `OpenVINO Cheat Sheet. <https://docs.openvino.ai/2024/_static/download/OpenVINO_Quick_Start_Guide.pdf>`__



.. container::
:name: ov-homepage-banner

Expand All @@ -24,31 +25,21 @@ Check out the `OpenVINO Cheat Sheet. <https://docs.openvino.ai/2024/_static/down
<section class="splide" aria-label="Splide Banner Carousel">
<div class="splide__track">
<ul class="splide__list">
<li id="ov-homepage-slide1" id class="splide__slide">
<p class="ov-homepage-slide-title">An open-source toolkit for optimizing and deploying deep learning models.</p>
<p class="ov-homepage-slide-subtitle">Boost your AI deep-learning inference performance!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/get-started.html">Learn more</a>
<li id="ov-homepage-slide1" class="splide__slide">
<p class="ov-homepage-slide-title">New Generative AI API</p>
<p class="ov-homepage-slide-subtitle">Generate text with LLMs in only a few lines of code!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/genai-guide.html">Check out our guide</a>
</li>
<li id="ov-homepage-slide2" class="splide__slide">
<p class="ov-homepage-slide-title">Better OpenVINO integration with PyTorch!</p>
<p class="ov-homepage-slide-subtitle">Use PyTorch models directly, without converting them first.</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/openvino-workflow/model-preparation/convert-model-pytorch.html">Learn more</a>
<p class="ov-homepage-slide-title">Python custom operations</p>
<p class="ov-homepage-slide-subtitle">Implement specialized operations for any model out of the box!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/openvino-workflow/torch-compile.html">Learn more</a>
</li>
<li id="ov-homepage-slide3" class="splide__slide">
<p class="ov-homepage-slide-title">OpenVINO via PyTorch 2.0 torch.compile()</p>
<p class="ov-homepage-slide-subtitle">Use OpenVINO directly in PyTorch-native applications!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/openvino-workflow/torch-compile.html">Learn more</a>
</li>
<li id="ov-homepage-slide4" class="splide__slide">
<p class="ov-homepage-slide-title">Do you like Generative AI?</p>
<p class="ov-homepage-slide-subtitle">You will love how it performs with OpenVINO!</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/learn-openvino/interactive-tutorials-python.html">Check out our new notebooks</a>
</li>
<li id="ov-homepage-slide5" id class="splide__slide">
<p class="ov-homepage-slide-title">Boost your AI deep learning interface performance.</p>
<p class="ov-homepage-slide-subtitle">Use Intel's open-source OpenVino toolkit for optimizing and deploying deep learning models.</p>
<a class="ov-homepage-banner-btn" href="https://docs.openvino.ai/2024/openvino-workflow/model-preparation/convert-model-pytorch.html">Learn more</a>
</li>
</ul>
</div>
</section>
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