From 76298ac598ebb0a9d266809730484ae87cf46af0 Mon Sep 17 00:00:00 2001 From: weichen Date: Wed, 2 Jul 2025 09:30:42 +0800 Subject: [PATCH] update L release release notes Change-Id: I5590c9ce80a92fd03ea86bc820ced108fec72ca9 Signed-off-by: weichen --- docs/release-notes.rst | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/docs/release-notes.rst b/docs/release-notes.rst index 8e32ab2..3b664af 100644 --- a/docs/release-notes.rst +++ b/docs/release-notes.rst @@ -307,9 +307,42 @@ SMO-O2 repository is for the implementation, installation, and use of the O2 int +AIML Framework (AIMLFW) +^^^^^^^^^^^^^^^^^^^^^^^ +The AI/ML Framework is stand alone installation (separated from existing platform deployment) and initial AIML workflow modules. +AIMLFW Training manager module is responsible for Training job and model management. +* :doc:`AIMLFW Training manager Release-notes ` + +AIMLFW Dashboard module is responsible for providing a dashboard where user can create AI/ML training jobs and AI/ML training pipelines. + +* :doc:`AIMLFW Dashboard Release-notes ` + +AIMLFW Data Extraction module is responsible for data extraction and storing the data as features in a feature store for AI/ML Training. + +* :doc:`AIMLFW Data Extraction Release-notes ` + +AIMLFW Feature Store SDK module module is responsible for providing functionality to retrieve features from feature store during training. + +* :doc:`AIMLFW Feature Store SDK Release-notes ` + +AIMLFW Model Storage SDK module is responsible for providing functionality to store and retrieve models from model storage. + +* :doc:`AIMLFW Model Storage SDK Release-notes ` + +AIMLFW Kubeflow adapter module is responsible for providing connectivity to Kubeflow for creating AI/ML training pipelines and executing AI/ML training jobs. + +* :doc:`AIMLFW Kubeflow adapter Release-notes ` + +AIMLFW Installation and Deployment repository provides required installation scripts for deployment of AIMLFW. + +* :doc:`AIMLFW Installation and Deployment Release-notes ` + +QoE Prediction assist xApp(ric-app-qp-aimlfw) is an xApp that supports QoE Prediction on the AIMLFW, and an xApp of the Traffic Steering O-RAN usecase. The difference from the existing QoE Prediction(ric-app-qp) is that the function to interact with the MLxApp of AIMLFW is added and the inference function is removing. + +* :doc:`QoE Prediction assist xApp Release-notes ` -- 2.16.6