# AI cluster labeling

> AI cluster labeling - Use cluster insights provided by DataRobot with ChatGPT to provide business-
> or domain-specific labels to the clusters using OpenAI and DataRobot APIs.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.578152+00:00` (UTC).

## Primary page

- [AI cluster labeling](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/cluster-genai.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [LLM and GenAI applications](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/generative_ai/smart_cluster_naming/smart_cluster_labeling.ipynb)

The toughest part of unsupervised learning modeling is explaining clusters to end users. DataRobot not only allows users to build clustering models, but also provides insights per cluster to help users analyze the clusters. In most scenarios, the users building the models might not have the subject matter expertise to tailor the cluster labels towards the users consuming the models. This is where you can use Generative AI models to automatically label the clusters with some prompt engineering. Because the Generative AI models have been trained on vast amounts of domain and business datasets, they can understand and label the clusters tuned for end user expertise.

This AI Accelerator shows how to extract cluster insights from DataRobot models, use prompt engineering to label clusters, and then rename the clusters in the DataRobot project.

You will explore the following:

- Use the API to extract Cluster Insights from DataRobot unsupervised learning projects.
- Use Generative AI and Prompt Engineering to consume cluster insights and create cluster labels for DataRobot clusters.
- Use the API to rename DataRobot clusters.