# Adaptive Training

By default, Adaptive Training is disabled and FR<mark style="color:red;">EQ</mark>UIA selects the Frequency, Gain, and Q parameters of the equalizers at random, based on the Frequency Resolution, Gain Type, Gain Resolution, and Q Resolution settings.

When Adaptive Training is enabled (by clicking on the Adaptive Training mode button shown below), **FR**<mark style="color:red;">**EQ**</mark>**UIA** **automatically selects the Frequency, Gain, and Q parameters of each question based on your past performance, instead of selecting them at random**.

With Adaptive Training enabled, the frequencies, gain levels, and Q values that you previously identified incorrectly will be presented more often, and those that you have correctly identified will be presented less often. **You'll save hours by spending less time training on what you know and more time training where you need to improve**.

Adaptive Training can be enabled or disabled mid-training; the selected mode will influence the next question presented.

{% hint style="info" %}
Note that Adaptive Training mode will have no effect on your very first training session, as there is no historic performance data to analyze. **We recommend completing at least five 10-question training sessions before enabling the Adaptive Training mode**.
{% endhint %}

{% hint style="info" %}
Note that the Adaptive Training mode also impacts the parameter values chosen when an inactive parameter is set to [Variable](/frequia/advanced-training/fixed-vs-variable-parameters.md).
{% endhint %}

![Adaptive Training Enable / Disable button](/files/AZtJFDQfcLh9DqYlRJNa)


---

# 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://frequia.gitbook.io/frequia/advanced-training/adaptive-training.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.
