How to Compose a Modular ML Pipeline with NO Glue Code скачать в хорошем качестве

How to Compose a Modular ML Pipeline with NO Glue Code

Machine Learning (ML) technologies are now widely used in many day-to-day applications. While the consumer interface of Machine Learning systems may appear simple, the systems behind the scenes can be much more complex than they first appear - the diverse nature of components makes it challenging to create robust and reusable ML systems. To solve this problem, we have introduced Forte, a data-centric framework designed to handle complex ML workflows. Supported by the researchers at Petuum and our open-source community CASL, Forte employs a unique data structure, namely, the DataPack, as a standardized, but customizable data representation that flows in a workflow. This data representation allows each component to interact with a data stream in a standard way. Join Petuum's Hector Liu, Research Scientist, Adil Islam, Lead Product Manager, and Julie Bills, Product Marketing Manager in a discussion of how your AI Team can use the Forte framework to transform the building of ML solutions in your organization. #ScaleMLOps https://www.petuum.com #mlops #ML #AI #machinelearning