XNN-assisted LLM explanations

The XNN-assisted LLM view generates a written interpretation of built-in Adult Income sample data. Review the sample and the generated claims together before reusing the explanation.

Before you begin

Use this page to explore the supplied sample-data workflow. It does not query records from your deployment. Choose the sample size appropriate to what you want to inspect, then read the sample before reviewing the narrative.

Generate an XNN-assisted LLM explanation

1. Select Explanation Lab > XNN LLM Explanations.

2. Review the built-in Adult Income sample on the XNN Assisted LLM Explanations page. This page uses supplied sample data; it does not use your selected deployment’s records.

3. Choose Sample Size: 1, 10 or 50 sample rows. The example uses 10 Sample Rows.

4. Select Generate Explanation.

5. Review the Sample Data table and wait for the LLM Explanation to finish.

6. Read the generated sections and check their claims against the Sample Data table.

Interpret and review the result

The example uses ten sample records and produces sections including Summary of Key Trends, Data Anomalies and Implications, and Summary Table. Generated wording may vary between runs.

Regenerate, copy or export

Use Regenerate to request another narrative, Copy to copy the generated text, or Export to choose a download format. The export options include Markdown and PDF. Review the text before reusing it.

The generated text is an interpretation to review. Statements about population patterns, anomalies, fairness, or causality require supporting evidence. A ten-row sample is not enough to establish those conclusions for the full population.

Before reusing an explanation, retain the sample data context and sample size, verify quoted numbers and distinguish the generated interpretation from live model results. To explain your own deployed model, use Local explanations, Model structure and decision rules and Symbolic explanations.

Next steps

Continue to Symbolic explanations.