Microsoft patents tool that turns complex data into plain English reports
Microsoft describes a system that uses AI to translate complex data outputs from machine-learning models into clear, human-readable reports. It works by matching specific data formats to tailored prompts, which guide the AI to generate accurate and straightforward explanations for different industries or topics.
In the filing’s own words
The disclosure relates to utilizing a domain insight system for providing plain language descriptions and insights into complex data and/or sparsely populated domains using machine-learning models and large generative models. For instance, the domain insight system converts data outputs from machine-learning models in various output formats into clear, accurate, comprehensible, and straightforward results. The domain insight system achieves this by using one or more dynamic prompts that are tailored based on the data output types and report descriptors, thus improving the accuracy and efficiency of the large generative model. In particular, the domain insight system uses specialized prompts with carefully selected parameters and, in some cases, system-level meta-prompts, to generate accurate domain-based reports and explanations for a given dataset.
What exactly they claim (claim 1)
1. A computer-implemented method for generating domain-based reports from datasets using one or more generative artificial intelligence (AI) models, the computer-implemented method comprising: 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 AI model by matching a domain descriptor from a domain-based report to the multiple output formats to identify the context prompt for the generative AI 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 AI model.
Facts
- Company
- Microsoft (Microsoft Technology Licensing, LLC)
- Official title
- GENERATING IMPROVED TECHNICAL REPORTS USING MACHINE-LEARNING MODELS ANDLARGE GENERATIVE MODELS
- Publication number
- US20260288779A1
- Application number
- 19684865
- Filed
- May 21, 2026
- Published
- Sep 24, 2026
- Inventors
- 2
- Claims
- 20
Classified under
G06F 16/3328 Physics & computingG06F 40/40 Physics & computingMore from Microsoft in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.