> ## Documentation Index
> Fetch the complete documentation index at: https://docs.timesdb.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Finetuning

To improve accuracy, the base models provided by TimesDB can be fine-tuned in the following ways:

* **Using Datasets**: Existing models can be fine-tuned using data from one or more datasets. This can be done by referencing the dataset IDs or tags.
* **Using SeriesIDs**: Models can be fine-tuned using one or more input series. Each prediction accepts an input series and generates a predicted series.
* **Using Series**: Models can be fine-tuned using actual data points, represented as (timestamp, value) pairs.

The resulting fine-tuned model will have a unique `model Id`. Additionally, `tags` can be assigned to them for better organization and categorization.

> [!NOTE]
>
> Model tags are unique across all models. This means if a tag is applied to a model, the same tag will be removed from any other model it was previously assigned to.


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