Unpin numpy version in its integration

[bcdurak]

Describe changes

Unpining the numpy version.

Thanks to this PR, our users will be working with numpy>=2.0 in most cases. However, we can not define it as >=2.0 because three of our integrations aws (due to sagemaker), argilla, and langchain still rely on numpy<2.0. This means that our testing suite will always be conducted in an environment where we have numpy<2.0 (because we install all our integrations, which will end up downgrading the numpy version). I will manually run the tests on my end as well with numpy>=2.0. For those interested: Numpy 2.0 Release Notes, Numpy 2.0 Migration Guide

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• I have added tests to cover my changes.
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Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
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[htahir1]

Id do this instead