Artificial intelligence powered workload sizing for generative artificial intelligence authoring systems

A system for automatically generating artifacts, comprising:

• one or more processors;
• and
• a memory comprising instructions that, when executed by the one or more processors, cause the system to:
• provide, to a machine learning model, an indication of a generative machine learning model, an indication of a type of an artifact, and an indication of a position within the artifact of a segment of the artifact that is to be generated by the generative machine learning model, wherein the machine learning model is trained to predict a size for the segment of the artifact that is compliant with an input limit or a processing capacity of the generative machine learning model;
• provide a segment of an artifact template to the generative machine learning model along with a prompt instructing the generative machine learning model to generate the segment of the artifact with the size predicted by the machine learning model, wherein:
• the generative machine learning model has been trained to generate artifacts based on artifact templates;
• and
• the artifact template corresponds to the indicated type of the artifact;
• and
• receive, from the generative machine learning model, the segment of the artifact based on the segment of the artifact template and the prompt.