In this issue:

• we start a new series about deep generative models;   

• we explore Optimus, a large generative model for language tasks;    

• we overview ART that uses generative models to protect neural networks.     

Enjoy the learning!

💡 ML Concept of the Day: A New Series About Deep Generative Models 

After concluding our series about MLOps, it is time to go back to ML theory. Today, we want to talk about generative models, one of the fastest growing research areas in ML. Generative models have gained prominence in recent years driven, among other things, by their efficiency in creating synthetic datasets used to train large-scale ML models.  

From a conceptual standpoint,...