Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to utilize large language artificial intelligence models to convert computer code. An example apparatus includes instructions and processor circuitry to execute the instructions to at least: train a large language model based on a computer instructions repository that includes code of a first type; utilize the large language model to convert an input set of instructions of the first type into output code of a second type; cause execution of the output code; determine if the execution is successful; and when the execution is not successful, utilize the output code for fine-tuning training of the large language model with incorrect data.

Abstract: A computational resource allocation system for allocating computational resources to various modules of a scene graph based application while the application is being executed may include a module mapper for receiving a set of modules to be used in the scene graph based application from a module repository and a set of computational resources available to process the modules from a computational resource repository, and mapping the set of modules onto the set of computational resources to generate a mapping, and an allocation manager configured to allocate the modules to the set of computational resources based on the mapping.