# AI Services

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Beyond serving pre-trained models, Cluster provides infrastructure for teams that need AI tailored to their domain. The AI Services layer handles fine-tuning workflows, pre-configured templates, and multi-step pipelines, allowing developers to go from raw data to a production-ready, domain-specific model without managing any of the underlying compute or deployment infrastructure themselves.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://cluster-protocol.gitbook.io/whitepaper/core-infrastructure/overview/ai-services.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
