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Grouping business documents into broader categories when an AI is unsure

This guide tests a way to sort company reports into industry groups. If an AI tool is unsure about a specific industry, the system automatically assigns the report to a broader business category instead.

Original by TypeSafe AIClassification

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Credits

“Classification using confidence” by TypeSafe AI. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This guide explores a method for sorting company business reports into specific industry groups. People who manage large numbers of documents can use this approach to automatically organize files, relying on an AI assistant to read the text and pick the best matching category.

The project uses Jev, an AI tool that chooses from a list of options rather than writing its own answer. If Jev is highly confident, it assigns a specific industry. If it is unsure, the system automatically assigns the document to a broader parent category.

This method is useful for developers who want to reduce errors without asking a person to review every single document. However, choosing a cutoff point for when to use the broader category is a manual choice, and the broader label might still be wrong.

Key takeaways

  1. Link specific groups to broader categories in your own software, rather than asking the AI twice.
  2. Ask the AI tool for the most specific category, then check its confidence score.
  3. Test whether falling back to a broader label actually gives you the accuracy your project needs.

The confidence cutoff used in these tests is a manual choice, not a universal rule. Falling back to a broader category does not guarantee the final label is correct.

TypeSafe cookbook · Source reviewed

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