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

# Evaluation

In Datasaur, we support three types of evaluation. You can choose the one that best suits your needs.

* [Automated evaluation](/llm-projects/evaluation/automated-evaluation.md).
* [Ranking](/llm-projects/evaluation/ranking-rlhf.md).
* [Rating](/llm-projects/evaluation/rating.md).

## Automated evaluation

Evaluate a model or pre-generated completions automatically using your preferred metrics by comparing them to a ground truth.

## Ranking

Evaluate your model manually by ranking several completion results from each prompt from best to worst. You can evaluate pre-generated completions or a model and determine how many results it needs to generate.

## Rating

Evaluate each completion result from each prompt by rating them with 1 to 5 stars and providing your expected completions. You can evaluate pre-generated completions or a model.