Generating improved technical reports using machine-learning models andlarge generative models

A computer-implemented method for generating domain-based reports from datasets using one or more generative language models, the computer-implemented method comprising:

• generating a first data output in a first output format using a first machine-learning model in response to receiving a set of input data;
• determining a context prompt for a generative language model by matching a domain descriptor from a domain-based report to the first output format to identify the context prompt for the generative language model;
• and
• generating a domain-based report based on the set of input data, the first data output, the context prompt, and domain-based report descriptors using the generative language model.

A system for generating domain-based reports from datasets using one or more generative models, the system comprising:

• a processing system;
• and
• a computer memory comprising instructions that, when executed by the processing system, cause the system to perform operations of:
• generating multiple data outputs in multiple output formats using at least one machine-learning model in response to receiving a set of input data;
• determining a context prompt for a generative model by matching a domain descriptor from a domain-based report to the multiple output formats to identify the context prompt for the generative model;
• and
• generating the domain-based report based on the set of input data, the multiple data outputs, the context prompt, and report descriptors of the domain-based report using the generative model.