10.0 Overview – The Finale: Our Next Steps After AI Model Training

In this unit, we are concluding the course by discussing important considerations for training machine learning, deep learning, and AI models in practice. This includes touching upon the challenges concerning trustworthy and reliable prediction pipelines. Also, as the last coding examples for this course, we will be constructing confidence intervals for our machine learning models, and we will take a look at Fabric, which is an open-source library that allows users to boost PyTorch models via multi-GPU and mixed-precision training with only a few lines of code.

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