Giskard 1.4 is out! What's new in this version? ?

We have released a new version ??

Hi there,

The Giskard team hopes you're having a good week! This month we have the pleasure to announce that a new version 1.4 has been officially launched, hooray!

???Slice feature

This new feature will enable you to identify business areas in which your AI models underperform. Identifying these areas is critical because they can lead to catastrophic AI performance issues.

Create your own slice by simply adapting a Python function with the rows you might want to inspect.?Once your slice is ready, you can easily ask for feedback to your business expert.?

This feature will enable data scientists to debug performance biases or spurious correlations inside their models.

?? Export and import your projects

Now you can easily export and import your project (metadata, dataset, models, slices).?This feature may come in handy for debugging and for sharing your project without having to share your instance.??

?? Numerous bug fixes and minor improvements

For example:

• Simplified user management by opening access without login by default.
• Fixed ML Worker issues related to disconnecting after a while.

??? What are the latest news?

?? We are happy to share with you our latest publication, where we explain how to evaluate and load a PyTorch model with Giskard.

Why is it important to test your AI models? Mistakes during production can have significant repercussions on a business, resulting in financial losses. It is crucial to test the performance of our model before deploying it in production and verify that it does not include errors or biases.

?? Giskard is on the Gartner guide for AI Trust, Risk and Security Management

In case you missed our announcement on our previous newsletter, we got featured in the?Gartner guide for AI Trust, Risk and Security Management. We are very proud of this acknowledgment as it proves our commitment to delivering a platform that is suitable for businesses to evaluate, verify and guarantee the quality of AI models.

?? Life at Giskard

This month we are happy to welcome on board 2 new Giskardians! ??

?? Matteo Dora has joined as Machine Learning Researcher

?? Blanca Rivera Campos has joined as Growth Marketer

?? Community news

?? Special thanks to our new contributor on GitHub: p4puniya?

Thank you for helping us improve our repository ??

?? More to come

We’re already working on future releases ??

We have also started to work on how to test Generative language models...you will hear soon from us ??

Thank you so much, and see you soon!