> For the complete documentation index, see [llms.txt](https://docs.graviti.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graviti.cn/dev-doc/tools/shi-li-yan-shi.md).

# 示例演示

### 模型训练

本示例将在线训练一个基于MNIST数据集的分类模型, 帮助您快速了解格物钛数据平台。

{% content-ref url="/pages/XSqE5rOpjjpiGBgiHvds" %}
[模型训练](/dev-doc/tools/shi-li-yan-shi/mo-xing-xun-lian.md)
{% endcontent-ref %}

### **数据挖掘**

基于TensorBay Action平台，本示例将搭建一个整合数据爬取、数据转化、数据提取和数据分析四步骤的工作流。

{% content-ref url="/pages/mOAJoU9r8Ieln9RwXgmK" %}
[数据挖掘](/dev-doc/tools/shi-li-yan-shi/shu-ju-wa-jue.md)
{% endcontent-ref %}


---

# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.graviti.cn/dev-doc/tools/shi-li-yan-shi.md?ask=<question>&goal=<endgoal>
```

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