4results about How to "Avoid call failure" patented technology

The invention belongs to the field of artificial intelligence and financial science and technology, and relates to a model calling method, system and device based on an API engine and a storage medium, and the method comprises the steps: transmitting a request parameter to an API task engine through a large model, and converting the request parameter based on a conversion rule to obtain a first target request parameter; packaging the access authority based on an API task engine to verify the first target request parameter; and if verification succeeds, calling a target API through an API task engine to obtain target data according to the first target request parameter, and returning the target data to the large model after conversion based on a conversion rule. In addition, the invention also relates to a block chain technology, and the called data can be stored in a block chain. The method can be applied to an API interface calling scene in the financial field, and the API task engine is used for converting and verifying the request parameters, so that the safety and reliability of data calling and the interface calling efficiency can be improved.

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.

The invention relates to the technical field of communication, and discloses a cross-system dynamic recombination method, which comprises the following steps of: S1, setting a broadband terminal, a dual-mode terminal and a narrowband terminal into a digital trunking mode, logging the broadband terminal into a broadband system, logging the dual-mode terminal into the broadband system and a narrowband system, and logging the narrowband terminal into the narrowband system; s2, the frequency points of the direct mode of the dual-mode terminal and the narrow-band terminal are preset to be the same, and communication in the direct mode is supported; and S3, the dispatching desk initiates a dynamic group call from the broadband system, wherein the dynamic group call carries the broadband user number and the narrowband user number. According to the invention, through intelligent scheduling of the dynamic group call, the use state of the narrowband system resource can be identified, the resource optimization distribution is carried out in the broadband system and the narrowband system according to requirements, and the DM function of the terminal is reasonably used, so that the call failure caused by insufficient narrowband resources is avoided.

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.