# Training task

![Training Screen](/files/-M_MdT7Yrxa3C3-l69lq)

After building a flow, you have to make sure that they are connected to the right answers and that sentences are tied to the right meanings.

The training process is the same as a person learning a new language. The more you train, the better the results.

To do so, you train your Intents and Entities using a Natural Language Processing engine. In eva you can use our internal NLP or use external ones.

To learn about training a virtual agent with eva NLP go to:

{% content-ref url="/pages/-MZY3nMkCHz0\_tc\_RFLC" %}
[Training with eva NLP](/eva-3.3.1-1/using-eva/natural-language/train-your-bot.md)
{% endcontent-ref %}

If you want to use other external NLPs, please continue to the next section:

{% content-ref url="/pages/eXCwK6O59E9WpZFNDOyl" %}
[Using other NLP engines](/eva-3.3.1-1/using-eva/natural-language/using-other-nlp-engines.md)
{% endcontent-ref %}


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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-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/training-task.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.