diff --git a/README.md b/README.md
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NNI (Neural Network Intelligence) is a toolkit to help users run automated machine learning (AutoML) experiments.
The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.
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### **NNI [v0.9](https://github.com/Microsoft/nni/releases) has been released! **
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## **Who should consider using NNI**
@@ -291,17 +251,18 @@ Maybe you want to read:
* [Config an experiment](docs/en_US/Tutorial/ExperimentConfig.md)
* [How to use annotation](docs/en_US/TrialExample/Trials.md#nni-python-annotation)
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## **Tutorials**
-* [Run an experiment on OpenPAI?](docs/en_US/PaiMode.md)
-* [Run an experiment on Kubeflow?](docs/en_US/KubeflowMode.md)
-* [Run an experiment on local (with multiple GPUs)?](docs/en_US/LocalMode.md)
-* [Run an experiment on multiple machines?](docs/en_US/RemoteMachineMode.md)
-* [Try different tuners](docs/en_US/tuners.rst)
-* [Try different assessors](docs/en_US/assessors.rst)
+* [Run an experiment on OpenPAI](docs/en_US/TrainingService/PaiMode.md)
+* [Run an experiment on Kubeflow](docs/en_US/TrainingService/KubeflowMode.md)
+* [Run an experiment on local (with multiple GPUs)](docs/en_US/TrainingService/LocalMode.md)
+* [Run an experiment on multiple machines](docs/en_US/TrainingService/RemoteMachineMode.md)
+* [Try different tuners](docs/en_US/Tuner/BuiltinTuner.md)
+* [Try different assessors](docs/en_US/Assessor/BuiltinAssessor.md)
* [Implement a customized tuner](docs/en_US/Tuner/CustomizeTuner.md)
-* [Implement a customized assessor](docs/en_US/CustomizeAssessor.md)
-* [Use Genetic Algorithm to find good model architectures for Reading Comprehension task](examples/trials/ga_squad/README.md)
+* [Implement a customized assessor](docs/en_US/Assessor/CustomizeAssessor.md)
+* [Use Genetic Algorithm to find good model architectures for Reading Comprehension task](docs/en_US/TrialExample/SquadEvolutionExamples.md)
## **Contribute**
This project welcomes contributions and there are many ways in which you can participate in the project, for example: