Introducing FBLearner Flow: Facebook’s AI backbone

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Introduced FBLearner Flow, a new platform designed to democratize machine learning model training and experimentation for all Facebook engineers. FBLearner Flow allows for easy reuse of algorithms, parallelized training across machines, and simplified experiment management through a UI. Key concepts include Workflows, Operators, and Channels. The platform consists of an authorship and execution environment, an experimentation management UI, and predefined pipelines. It supports automatic UI generation from pipeline definitions and parallelization of Python code using futures. The system compiles workflows into a DAG for execution and manages resource allocation for operators. The UI provides a structured form for launching workflows based on typed input schemas and allows for visualization and comparison of experiment outputs.