> For the complete documentation index, see [llms.txt](https://docs.ownlayer.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ownlayer.com/iterate.md).

# Iterate

- [Prompt](https://docs.ownlayer.com/iterate/prompt.md): Use Ownlayer to systematically version manage, optimize and iterate on the prompt you use in LLM application
- [Dataset](https://docs.ownlayer.com/iterate/dataset.md): Datasets are crucial for AI product development, fine-tuning, and prompt optimization. Ownlayer provides tools to efficiently create, evaluate, and utilize datasets tailored to your needs.
- [Dataset Creation](https://docs.ownlayer.com/iterate/dataset/dataset-creation.md)
- [Data point Evaluation](https://docs.ownlayer.com/iterate/dataset/data-point-evaluation.md)
- [Dataset Evaluation](https://docs.ownlayer.com/iterate/dataset/dataset-evaluation.md): To measure the performance of a model on a dataset, it can be done by comparing the model's predictions to some ground truth references. We currently offer BLEU, ROUGE, WER, METEOR, and Accuracy.


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# Agent Instructions
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## 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.ownlayer.com/iterate.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.