Game Development Using Machine Learning to Reduce Latency

A computing system comprising:

• one or more processors;
• and
• one or more computer-readable media comprising a sequence of instructions that, when executed, cause the one or more processors to:
• receive a natural language indication of a video game development task for a video game developer via a user device;
• access a video game resource repository comprising a plurality of video game resources for a video game;
• determine, via a machine learning model, a video game resource of the plurality of video game resources to be used for performing the video game development task based on the natural language indication and availability of the video game resource in the video game resource repository;
• generate, via the machine learning model, a natural language summarization of using the video game resource with respect to the video game development task;
• and
• send the natural language summarization of the video game resource to the user device.

One or more non-transitory, computer-readable media comprising a sequence of instructions that, when executed, cause one or more processors to:

• provide a machine learning model with data comprising a natural language description of a video game development task, a set of video game resources, and a bandwidth for transmitting data to a user terminal, the set of video game resources;
• cause the machine learning model to output an identity of a video game resource of the set of video game resources to be transmitted to a user device;
• and
• update the machine learning model to associate the natural language description of a video game development task with a second video game resource based on the output.