Update llm_inference_guide.rst

openvinotoolkit · Jan 16, 2025 · b1050ab · b1050ab
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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
@@ -16,7 +16,7 @@ OpenVINO Release Notes
 
 
 
-2024.6 - 18 December 2024
+2025.0 - 05 February 2025
 #############################
 
 :doc:`System Requirements <./release-notes-openvino/system-requirements>` | :doc:`Release policy <./release-notes-openvino/release-policy>` | :doc:`Installation Guides <./../get-started/install-openvino>`
@@ -146,6 +146,9 @@ Deprecated and to be removed in the future
   future. OpenVINO's dynamic shape models are recommended instead.
 * MacOS x86 is no longer recommended for use due to the discontinuation of validation.
   Full support will be removed later in 2025.
+* The `openvino` namespace of the OpenVINO Python API has been redesigned, removing the nested
+  `openvino.runtime` module. The old namespace is now considered deprecated and will be
+  discontinued in 2026.0.
 
 
 

diff --git a/docs/articles_en/learn-openvino/llm_inference_guide.rst b/docs/articles_en/learn-openvino/llm_inference_guide.rst
@@ -40,7 +40,7 @@ options:
 
       `Check out the OpenVINO GenAI Quick-start Guide [PDF] <https://docs.openvino.ai/nightly/_static/download/GenAI_Quick_Start_Guide.pdf>`__
 
-   .. tab-item:: Hugging Face integration
+   .. tab-item:: Optimum Intel (Hugging Face integration)
 
       | - Suggested for prototyping and, if the use case is not covered by OpenVINO GenAI, production.
       | - Bigger footprint and more dependencies.
@@ -55,10 +55,16 @@ options:
       as well as conversion on the fly. For integration with the final product it may offer
       lower performance, though.
 
-Note that the base version of OpenVINO may also be used to run generative AI. Although it may
-offer a simpler environment, with fewer dependencies, it has significant limitations and a more
-demanding implementation process. For reference, see
-`the article on generative AI usage of OpenVINO 2024.6 <https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/llm-inference-native-ov.html>`__.
+   .. tab-item:: Base OpenVINO (not recommended)
+
+      Note that the base version of OpenVINO may also be used to run generative AI. Although it may
+      offer a simpler environment, with fewer dependencies, it has significant limitations and a more
+      demanding implementation process. 
+
+      To learn more, refer to the article for the 2024.6 OpenVINO version: 
+      `Generative AI with Base OpenVINO <https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/llm-inference-native-ov.html>`__
+
+
 
 The advantages of using OpenVINO for generative model deployment: