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Update BuiltinTuner.md #2814

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# Built-in Tuners for Hyperparameter Tuning
# HyperParameter Tuning with NNI Built-in Tuners

NNI provides state-of-the-art tuning algorithms as part of our built-in tuners and makes them easy to use. Below is the brief summary of NNI's current built-in tuners:
To fit a machine/deep learning model into different tasks/problems, hyperparameters always need to be tuned. Automate the process of hyperparaeter tuning always require a good tuning algorithm. NNI has provided state-of-the-art tuning algorithms as part of our built-in tuners and makes them easy to use. Below is the brief summary of NNI's current built-in tuners:
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Note: Click the **Tuner's name** to get the Tuner's installation requirements, suggested scenario, and an example configuration. A link for a detailed description of each algorithm is located at the end of the suggested scenario for each tuner. Here is an [article](../CommunitySharings/HpoComparison.md) comparing different Tuners on several problems.

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