[DOCS] pre-releasenotes 23.1 Aug port master (openvinotoolkit#19273)

Author: kblaszczak-intel

docs/resources/prerelease_information.md

@@ -30,10 +30,92 @@ Please file a github Issue on these with the label “pre-release” so we can g
       :material-regular:`feedback;1.4em` Share your feedback
 
 
-.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230728
+
+
+.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230811
    :animate: fade-in-slide-down
    :color: primary
    :open:
+
+   `Check on GitHub <https://github.com/openvinotoolkit/openvino/releases/tag/2023.1.0.dev20230811>`__ 
+
+   **New features:**
+   
+   * CPU runtime: 
+
+     * Enabled weights decompression support for Large Language models (LLMs). The implementation 
+       supports avx2 and avx512 HW targets for Intel® Core™ processors and gives up to 2x improvement 
+       in the latency mode (FP32 VS FP32+INT8 weights comparison). For 4th Generation Intel® Xeon® 
+       Scalable Processors (formerly Sapphire Rapids) this INT8 decompression feature gives 10-25% 
+       performance improvement, compared to pure BF16 inference.
+     * Reduced memory consumption of compile model stage by moving constant folding of Transpose 
+       nodes to the CPU Runtime side.  
+     * Set FP16 inference precision by default for non-convolution networks on ARM. Convolution 
+       network will be executed in FP32.  
+
+   * GPU runtime: Added paddings for dynamic convolutions to improve performance for models like 
+     Stable-Diffusion v2.1. 
+
+   * Python API: 
+
+     * Added the ``torchvision.transforms`` object to OpenVINO preprocessing.  
+     * Moved all python tools related to OpenVINO into a single namespace, 
+       improving user experience with better API readability. 
+
+   * TensorFlow FE: 
+
+     * Added support for the TensorFlow 1 Checkpoint format. All native TensorFlow formats are now enabled. 
+     * Added support for 8 new operations: 
+
+       * MaxPoolWithArgmax 
+       * UnravelIndex 
+       * AdjustContrastv2 
+       * InvertPermutation 
+       * CheckNumerics 
+       * DivNoNan 
+       * EnsureShape 
+       * ShapeN 
+
+   * PyTorch FE: 
+
+     * Added support for 6 new operations. To know how to enjoy PyTorch models conversion follow 
+       this `Link <https://docs.openvino.ai/2023.0/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_PyTorch.html#experimental-converting-a-pytorch-model-with-pytorch-frontend>`__ 
+
+       * aten::concat 
+       * aten::masked_scatter 
+       * aten::linspace 
+       * aten::view_as 
+       * aten::std 
+       * aten::outer 
+       * aten::broadcast_to 
+
+   **New openvino_notebooks:**
+
+   * `245-typo-detector <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/245-typo-detector>`__
+     : English Typo Detection in sentences with OpenVINO™ 
+
+   * `247-code-language-id <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/247-code-language-id/247-code-language-id.ipynb>`__
+     : Identify the programming language used in an arbitrary code snippet 
+
+   * `121-convert-to-openvino <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/121-convert-to-openvino>`__
+     : Learn OpenVINO model conversion API 
+
+   * `244-named-entity-recognition <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/244-named-entity-recognition>`__
+     : Named entity recognition with OpenVINO™ 
+
+   * `246-depth-estimation-videpth <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/246-depth-estimation-videpth>`__
+     : Monocular Visual-Inertial Depth Estimation with OpenVINO™ 
+
+   * `248-stable-diffusion-xl <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/248-stable-diffusion-xl>`__
+     : Image generation with Stable Diffusion XL 
+
+   * `249-oneformer-segmentation <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/249-oneformer-segmentation>`__
+     : Universal segmentation with OneFormer 
+
+
+.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230728
+   :animate: fade-in-slide-down
+   :color: secondary
 
    `Check on GitHub <https://github.com/openvinotoolkit/openvino/releases/tag/2023.1.0.dev20230728>`__ 
 
@@ -55,7 +137,7 @@ Please file a github Issue on these with the label “pre-release” so we can g
 
    * Frameworks:
 
-     - PyTorch Updates: OpenVINO now supports originally quantized PyTorch models, including models produced with the Neural Network Compression Framework (NNCF).
+     - PyTorch Updates: OpenVINO now supports originally quantized PyTorch models, including models produced with the Neural Network Compression Framework (NNCF).
      - TensorFlow FE: Now supports Switch/Merge operations, bringing TensorFlow 1.x control flow support closer to full compatibility and enabling more models.
      - Python API: Python Conversion API is now the primary conversion path, making it easier for Python developers to work with OpenVINO.