The application discloses an AI model-based
RSS subscription source intelligent screening and automatic article generation method and related device, relates to the technical field of
artificial intelligence, and comprises the following steps: acquiring a subscription configuration containing an
RSS source basic URL, a push cycle and the like,
processing tasks in batches through timed scheduling and monitoring states, and improving service reliability; intelligently identifying
RSS sources and reducing user configuration thresholds; preprocessing heterogeneous data into a standard format and guaranteeing data flow efficiency; filtering expired content according to a time window calculated according to the push cycle and relieving
information overload; dynamically grouping according to an AI screening model Token upper limit and improving AI call success rate; implementing structured screening by using a preset
JSON Schema combined with screening prompt words, improving precision compared with a traditional scheme; secondarily grouping according to an AI generation model Token upper limit after recombining results and guaranteeing generation quality; automatically generating articles combined with generation prompt words, reducing the time consumed by manual work to the minute level; generating a matching title, saving a notification and improving experience. The method realizes the
upgrade of RSS from passive aggregation to active intelligent
processing and is suitable for multi-field content services.