# User Feedback & Voting

In GPTBoost, we firmly believe that by actively encouraging and leveraging user feedback, you can foster a collaborative relationship with the users of your application. Collecting votes and feedback empowers users to actively participate in shaping the quality and relevance of responses generated by the Large Language Model (LLM). By offering a straightforward way to provide feedback, users contribute to the ongoing refinement and optimization of the model's performance. 

A simple example can be found here at GPTBoost. Your invaluable feedback while using our Smart Search feature assists us in refining the underlying model, consistently enhancing its performance, and ultimately making the feature more useful to you.

<figure><img src="/files/I1UI36Rzk3h2zooRizix" alt=""><figcaption><p>Here's an example of GPTBoost request for feedback, implemented in the Smart Search feature.</p></figcaption></figure>

To share the goodies, we've made sure our customers also have a straightforward way to kickstart the process in their applications. Refer to the [Integration examples](/features/user-feedback-and-voting/integration.md) for guidance on how to start collecting votes and feedback for each request. If you remain unconvinced about the myriad of benefits user feedback offers, take a moment to review the [The Value of User Feedback](/features/user-feedback-and-voting/the-value-of-user-feedback.md) section.


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# Agent Instructions: 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:

```
GET https://docs.gptboost.io/features/user-feedback-and-voting.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.