[DOCS] prereleasenotes update (#15944)

docs/resources/prerelease_information.md

@@ -21,12 +21,12 @@ a general changelog and the schedule for all versions for the current year.
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-   - Added support for PaddlePaddle Framework 2.4.
-   - Tensorflow Lite Frontend - load models directly via "read_model" or export to OpenVINO IR, using Model Optimizer or "convert_model".
-   - New option to control whether to use CPU to accelerate first inference latency for accelerator HW devices like GPU.
-   - New NNCF API call - "prepare_for_inference()" returns the compressed model in the source framework format. "export()" becomes optional.
-   - Security fix to protect OpenVINO against dll injection - search paths change to absolute paths to secure locations. OpenVINO installed into protected directories, ignoring the relative path and start up directory will be safe from this vulnerability.
-   - Added support for new model use cases and optimizing the existing support (better accuracy or performance).
-   - New FrontEndManager `register_front_end(name, lib_path)` interface added, to remove "OV_FRONTEND_PATH" env var (a way to load non-default frontends).
+   OpenVINO™ repository tag: `2023.0.0.dev20230217 <https://github.com/openvinotoolkit/openvino/releases/tag/2023.0.0.dev20230217>`__
+
+   * Enabled PaddlePaddle Framework 2.4
+   * Preview of TensorFlow Lite Front End – Load models directly via “read_model” into OpenVINO Runtime and export OpenVINO IR format using Model Optimizer or “convert_model”
+   * Introduced new option ov::auto::enable_startup_fallback / ENABLE_STARTUP_FALLBACK to control whether to use CPU to accelerate first inference latency for accelerator HW devices like GPU.
+   * New FrontEndManager register_front_end(name, lib_path) interface added, to remove “OV_FRONTEND_PATH” env var (a way to load non-default frontends).
+
 
 @endsphinxdirective