FlorianPydde
FlorianPydde
Hi all, The "Code" folder has not been updated based on the TDSP Documentation (https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/overview)  My personal suggestion for the structure is as following: - DataPrep: rename it to...
When training multiple models, the ado pipelines should be able to deploy all trained models into other environments. The change need to be applied to: - Training and registering script:...
Currently the template reruns the scripts in different environments. Although it ensures that automate retraining process works, this functionality should be defined as an integration test on a sample set...
AML provides a model profiling functionality which enables team to assess their deployment services (memory consumption, latency, etc): https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-profile-model?pivots=py-sdk During model deployment to AKS (TEST/PROD), it may be useful to...
Testing AML component before pushing new changes will improve infrastructure stability monitoring and accelerate delivery.
[Enter feedback here] Why do we need to use "_prepare_to_copy" with the SDK. Could you expand on a it a bit ? What happens if don't use an MFLow model...
In your [blob post](https://www.anthropic.com/news/contextual-retrieval), you mention that your prepend the context to the actual chunk but in the guide notebook it's the opposite. It probably doesn't affect performances but for...