From September 2018 to September 2019, We are still moving on … **Great news!**  With the tag of **Scalability** and **Ease of Use**, NNI v1.0 is comming. Based on the various types of [Tuning Algorithms](./Tuner/BuiltinTuner.md), NNI has supported the Hyperparameter tuning, Neural Architecture search and Auto-Feature-Engineering, which is an exciting news for algorithmic engineers; besides these, NNI v1.0 has made many improvements in the optimization of tuning algorithm, [WebUI's simplicity and intuition](./Tutorial/WebUI.md) and [Platform diversification](./TrainingService/SupportTrainingService.md). NNI has grown into a more intelligent automated machine learning (AutoML) toolkit.

               **Step one**: Start with the [Tutorial Doc](./Tutorial/Installation.md), and install NNI v1.0 first.
               **Step two**: Find a " Hello world example", follow the [Tutorial Doc](./Tutorial/QuickStart.md) and have a Quick Start.
               **Step three**: Get familiar with the [WebUI Tutorial](./Tutorial/WebUI.md) and let NNI better assists with your tuning tour.
The fully automated tool greatly improves the efficiency of the tuning process. For more detail about the 1.0 updates, you can refer to [Release 1.0](https://github.com/microsoft/nni/releases). More of our advance plan, you can refer to our [Roadmap](https://github.com/microsoft/nni/wiki/Roadmap). Besides, we also welcome more and more contributors to join us, there are many ways to participate, please refer to [How to contribute](./Tutorial/Contributing.md) for more details.