# Fine-Tuning (Coming Soon)

For more **advanced or specialized** scenarios, Geolava will soon let you **fine-tune** our Spatial Embedding Model using your organization’s proprietary data and rules—effectively creating **Custom Agents** tailored to your needs. This involves:

<figure><img src="/files/VQoA2TxA5x20zYQ1wWIp" alt=""><figcaption></figcaption></figure>

1. **Data Upload**
   * Provide labeled examples (e.g., historical valuations, domain-specific compliance rules, specialized hazards).
2. **Model Fine-Tuning**
   * Train a customized version of Geolava’s core embedding to capture your domain’s nuances.
3. **Deploy a Custom Agent**
   * Access your specialized model via the same API endpoints you already use (e.g., for Valuation or Condition).
   * Enhanced accuracy and domain-aware insights for your unique portfolio or region.

This approach seamlessly bridges the gap between our **pre-trained Agents** and **fully custom solutions**, ensuring you can adapt Geolava’s Spatial AI to your enterprise’s exact requirements—while still benefiting from our ongoing data ingest and model improvements. Keep an eye on our Changelog for updates on when this capability will go live.


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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://docs.geolava.com/api/fine-tuning-coming-soon.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.