> For the complete documentation index, see [llms.txt](https://unsloth.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unsloth.ai/docs/de/blog/gpu-mode-conference.md).

# GPU Mode - Reinforcement-Learning-Minikonferenz 2026

Unsloth GitHub für effizientes GRPO/GSPO mit viel benutzerdefinierter Kernel-Arbeit: <https://github.com/unslothai/unsloth>

Hier sind unsere angehängten PDF-Folien:

{% file src="/files/4b4952292f240c96035faeccd4165106039d69c8" %}

### Ressourcen zum Reinforcement Learning

Für Schritt-für-Schritt-Anleitungen, Anfänger- oder Fortgeschrittenen-Tutorials können Sie in unserer Dokumentation nachsehen für:

{% columns %}
{% column width="50%" %}
{% content-ref url="/pages/5b0f8932321e8767d629a7ca0f24c3e9add748f5" %}
[Reinforcement Learning](/docs/de/erste-schritte/reinforcement-learning-rl-guide.md)
{% endcontent-ref %}

{% content-ref url="/pages/547730be6638817f57e57c3a4e83ced021c3bd5b" %}
[RL Reward Hacking](/docs/de/erste-schritte/reinforcement-learning-rl-guide/advanced-rl-documentation/rl-reward-hacking.md)
{% endcontent-ref %}
{% endcolumn %}

{% column width="50%" %}
{% content-ref url="/pages/5b769b691c2ac2681f88fb5053c526306a2c1629" %}
[Advanced RL Docs](/docs/de/erste-schritte/reinforcement-learning-rl-guide/advanced-rl-documentation.md)
{% endcontent-ref %}

{% content-ref url="/pages/d1438bae8d51e95e98d98855d18199f86e47ffa1" %}
[FP16 vs BF16 für RL](/docs/de/erste-schritte/reinforcement-learning-rl-guide/advanced-rl-documentation/fp16-vs-bf16-for-rl.md)
{% endcontent-ref %}
{% endcolumn %}
{% endcolumns %}

{% columns %}
{% column width="50%" %}
{% content-ref url="/pages/e8e92128cfff3357409da6d50baeeb3180e259ec" %}
[FP8 RL](/docs/de/erste-schritte/reinforcement-learning-rl-guide/fp8-reinforcement-learning.md)
{% endcontent-ref %}
{% endcolumn %}

{% column width="50%" %}
{% content-ref url="/pages/b6b5ca32e463fa09c0f26919da403e22381129bc" %}
[Vision RL](/docs/de/erste-schritte/reinforcement-learning-rl-guide/vision-reinforcement-learning-vlm-rl.md)
{% endcontent-ref %}
{% endcolumn %}
{% endcolumns %}

### Live-Videoaufzeichnung

{% embed url="<https://www.youtube.com/watch?v=jMSCJZAEYR8>" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://unsloth.ai/docs/de/blog/gpu-mode-conference.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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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.