> For the complete documentation index, see [llms.txt](https://docs.3dolphins.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.3dolphins.ai/bot-settings/think-paragraph/think-paragraph-configuration.md). # Think Paragraph Configuration You can set think paragraph configuration by clicking on the **'Configuration'** ()on the top right of the page. Then, you can see a pop-up of configuration and you can decide how exactly your bot interprets what your customer says by using confidence level. Every time your customer types a message, the bot analyses its accuracy. In this pop-up, you can also set the client id and client secret. ![Think Paragraph Configuration](/files/SCf6XlE19DtdP0JYJKpE) **Component Explanation:** | Name | Description | | ---------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Retrieval Score (Confidence Level) | You can decide how precisely your bot interprets what your customer says by using confidence level. Every time your customer types a message, the bot analysis its accuracy. | | Client Id & Client Secret | Client id and client secret used for integration with 3Dolphins Think. | | Iteration | To determine the number of epoch training to be run. | | Learning Rate | The amount that the weight is updated during the training. | | Min Learning Rate | Setting the minimum amount that the weight is updated during the training. | | Layer Size | Parameter to configure the size of hidden layer. | | Batch Size | Specifies the number of samples to process before updating the internal model parameters (the number of words processed at once). | | Min Word Frequency | The minimum number of times a word must appear in the corpus. | | Window Size | To set the length of a cutout of a time sequence of data. |