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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ model experimentation tracking, and observability in model training and inferenc
[Samples](samples) in this project leverage the basic ideas used in [MLOpsPython](https://github.com/microsoft/MLOpsPython).
While MLOpsPython lays the foundation for operationalizing ML, we aim to provide representative samples and docs to

- provide a sounding startpoint to build a production quality ML solution of certain frameworks such as Tensorflow or Kaldi.
- provide a sounding startpoint to build a production quality ML solution of certain frameworks such as TensorFlow or Kaldi.
- demonstrate approaches and techniques for cross-cutting concerns such as unit testing and logging.
- document how to solve some of the challenges encountered in building ML solutions, such as security, data management,
local vs. cloud based development and more.
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