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sig-ai/charter.md

@@ -13,14 +13,14 @@ The SIG AI focuses on technical discussion, API definition, reference architectu
     - Integrate typical AI frameworks into KubeEdge, e.g., Tensorflow, Pytorch, PaddlePaddle and Mindspore etc.
     - Integrate KubeFlow and ONNX into KubeEdge, to enable interoperability of edge models with diverse formats
     - Cooperate with other open source communities, e.g., Akraino and LF AI
-1. Research **includes but not limited to**:
+1. Synergy models research for AI workloads, **including but not limited to**:
     - Cloud training and edge inference
-    - Incremental learning
     - Edge-cloud-collaborative inference
         - Knowledge distillation for the cloud and edge model
+    - Incremental learning
     - Federated learning
     - Edge model and dataset management
-1. Edge AI benchmarking relevant work, to identify most important dimensions when developing, evaluating Edge AI applications-and-services system:
+1. Edge AI benchmarking relevant work, to help users identify most important dimensions when developing, evaluating Edge AI applications-and-services system:
     - Provide Contextual Metrics
         - For typical Edge AI applications scenarios
     - Provide Standardized Evaluation Settings