# May 2023 release

## 🔧 Default training mode set to incremental

<figure><img src="/files/9R9M1QKnyaRpbqBOo676" alt=""><figcaption></figcaption></figure>

By default, when launching new trainings, the incremental option is now set as the default (when possible). You can still choose to run full trainings, but for most cases, we recommend using incremental trainings to **reduce the overall training time**. Check out the documentation for more information on when to choose a specific training mode.

{% content-ref url="/pages/dXtmZYtr5Xu5B3gT8Nsv" %}
[Train](/project/training/model-management/train.md)
{% endcontent-ref %}

<figure><img src="/files/3H5ZHjH1TuBprRZfYg1j" alt=""><figcaption></figcaption></figure>

## 🖌️ Guidelines always visible when annotating images

<figure><img src="/files/tWLODvlbgGaYO24kYyl8" alt=""><figcaption></figcaption></figure>

To **enhance your image annotation process**, we've made an improvement! You can now see the guidelines at all times, ensuring a smoother and more efficient workflow. Previously, the guidelines were only visible when you started dragging. Enjoy a clearer view while annotating!

<figure><img src="/files/3H5ZHjH1TuBprRZfYg1j" alt=""><figcaption></figcaption></figure>

## 🔒 New SSO option to enforce user roles

<figure><img src="/files/sWNOZBnRmP393mH6ZhOP" alt=""><figcaption></figcaption></figure>

We've added a new option to our Single Sign-On (SSO) feature, giving you more control over user roles. With this update, you can now enforce user roles, meaning that user roles won't be configurable within Metamaze. Strengthen your security and **streamline user management** with this new capability.

{% content-ref url="/pages/cjR3LJN5cCHVYiLX3cZ6" %}
[Organization settings](/organisation/organization-settings.md)
{% endcontent-ref %}

<figure><img src="/files/3H5ZHjH1TuBprRZfYg1j" alt=""><figcaption></figcaption></figure>


---

# 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-old.app.metamaze.eu/release-notes/release-archive/release-archive-2023/may-2023-release.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.