Technology and Application of Flow Data Flow Management System
One of the core innovations of LazyLLM is the Flow data flow management system, which provides a standardized solution to the problem of coordinating multi-module AI applications.The Flow system consists of three main core modes: Pipeline to provide serial processing capability, Parallel to support parallel execution, and Diverter to enable conditional streaming. These predefined flow patterns are encapsulated by a unified interface, which reduces the complexity of data conversion.
In practice, developers can build complex data processing processes with simple Python code. For example, a typical text processing scenario can use Pipeline to connect case conversion and result formatting steps, and then use Parallel to perform sentiment analysis and keyword extraction tasks simultaneously. This approach reduces the amount of intermediate code written by about 60% compared to traditional development. the Flow system is especially suitable for scenarios that require the collaboration of multiple AI modules, such as content generation systems, intelligent Q&A platforms, and so on.
This answer comes from the articleLazyLLM: Shangtang's open source low-code development tool for building multi-intelligence body applicationsThe
