Abstract: A method, computer program product, and computing system for processing workload data associated with processing a plurality of requests for an artificial intelligence (AI) model on a processing unit. A maximum number of key-value (KV) cache blocks available for the workload data is determined by simulating the workload data using a simulation engine. A token utilization for the workload data is determined based upon, at least in part, the maximum number of KV cache blocks available for the workload data. Processing unit resources are allocated for the processing unit based upon, at least in part, the token utilization.

Abstract: A cognitive content service exposes an interface for providing artificial intelligence (“AI”)-generated content based on content templates that define when and how AI-generated content is to be generated. Requests made to the API for AI-generated content identify a content template. The cognitive content service determines, based on the identified content template, whether the requested AI-generated content is to be newly generated or whether previously generated AI-generated content is to be returned in response to the request. If the requested AI-generated content is to be newly generated, the cognitive content service transmits a request to a content generation service to generate the AI-generated content based on the content template. The content generation service generates the requested content based on the content template. The cognitive content service stores the AI-generated content and generates a response to the request for the AI-generated content.

Abstract: Non-limiting examples of the present disclosure describe natural language translation capabilities that enable automated process flow diagram generation from received input. Input may be received through an application for automated generation of a process flow diagram. The received input may be provided to a natural language processing component of a language understanding intelligence service. A data object, received from the natural language processing component, may be accessed. The data object provides data for creation of a process flow diagram based on the received input. In examples, the data object is generated based on natural language processing by the natural language processing component and at least one user defined grammar rule, provided by the application, for converting the received input to one or more process flow steps. The process flow diagram may be presented within the application. Other examples are also described such as reverse engineering an existing process flow diagram.

Abstract: Non-limiting examples of the present disclosure describe natural language translation capabilities that enable automated process flow diagram generation from received input. Input may be received through an application for automated generation of a process flow diagram. The received input may be provided to a natural language processing component of a language understanding intelligence service. A data object, received from the natural language processing component, may be accessed. The data object provides data for creation of a process flow diagram based on the received input. In examples, the data object is generated based on natural language processing by the natural language processing component and at least one user defined grammar rule, provided by the application, for converting the received input to one or more process flow steps. The process flow diagram may be presented within the application. Other examples are also described such as reverse engineering an existing process flow diagram.

Abstract: Non-limiting examples of the present disclosure describe natural language translation capabilities that enable automated process flow diagram generation from received input. Input may be received through an application for automated generation of a process flow diagram. The received input may be provided to a natural language processing component of a language understanding intelligence service. A data object, received from the natural language processing component, may be accessed. The data object provides data for creation of a process flow diagram based on the received input. In examples, the data object is generated based on natural language processing by the natural language processing component and at least one user defined grammar rule, provided by the application, for converting the received input to one or more process flow steps. The process flow diagram may be presented within the application. Other examples are also described such as reverse engineering an existing process flow diagram.