> For the complete documentation index, see [llms.txt](https://docs.aisl.science/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisl.science/events-and-community.md).

# Events and Community

AISL-related events connect students, instructors, researchers, and external partners around applied and open AI.

## Hack Apertus

[Hack Apertus](https://hackapertus.ch/) is an open-source hackathon series centered on Apertus and open AI. Access to event-specific resources can depend on participation, the event stage, and the project.

For preparation and hands-on model adaptation, start with [Training Apertus](/learning-and-resources/training-apertus.md), which brings together the Kaggle SFT notebook, the text-focused Apertus checkpoint, baseline evaluation guidance, and current tooling notes.

If a course, project, or Hack Apertus allocation includes CSCS compute, use [CSCS Clariden](/external-tools-and-services/cscs-clariden.md) separately for SSH access, Slurm validation, GPU testing, uenv, and the ML Console.

## MAKEathon @ FHNW

[MAKEathon @ FHNW](https://makeathonfhnw.ch/) is an annual two-day event at FHNW where students, engineers, designers, and developers build AI prototypes around real company and societal challenges.

## watsonx Agentic AI Challenge Switzerland

The [watsonx Agentic AI Challenge Switzerland](https://ch.linkedin.com/company/watsonx-agentic-ai-challenge-switzerland) is an annual student challenge that brings Swiss universities and industry partners together to develop agentic AI solutions for real-world use cases.

{% hint style="info" %}
Participation, eligibility, schedules, and access to event resources are defined by the respective organizers and may change from year to year.
{% endhint %}


---

# 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.aisl.science/events-and-community.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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