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Today we continue our AI Platforms series joined by Yi Zhuang, Senior Staff Engineer at Twitter & Tech Lead for Machine Learning Core Environment at Twitter Cortex.
In our conversation, Yi guides us through the machine learning landscape at Twitter, starting with the history of the Cortex team, who are responsible for building and maintaining their ML platform. We dig into their recently released Deepbird v2 framework, which is used for model training and evaluation solutions, and it's integration with Tensorflow 2.0. We also discuss their efforts in automating hyperparameter searches, pipeline management, and their newly assembled "Meta" team, that is tasked with exploring the bias, fairness, and accountability of their machine learning models.
