# Give Feedback

*Avalanche* is a tool **from** the continual learning research community and **for** the continual learning research community. We try to keep the design of *Avalanche* as *open*, *collaborative* and *inclusive* as possible.\
\
This is why **we are always keen to hear your feedback** about *Avalanche!* Join directly [**on slack**](https://join.slack.com/t/continualai/shared_invite/enQtNjQxNDYwMzkxNzk0LTBhYjg2MjM0YTM2OWRkNDYzOGE0ZTIzNDQ0ZGMzNDE3ZGUxNTZmNmM1YzJiYzgwMTkyZDQxYTlkMTI3NzZkNjU) (**#avalanche** channel) for a quick feedback or write a post on [**GitHub Discussions**](https://github.com/ContinualAI/avalanche/discussions)!

![General Feedback Section of the Avalanche GitHub "Discussions" Tab.](/files/-MkmWL0bZbiseYmgkokb)

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Click Above to Join ContinualAI Slack
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Click Above to Join the Discussion!
{% endembed %}


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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://avalanche.continualai.org/avalanche-v0.1.0/questions-and-issues/give-feedback.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.