# Basic Info.

Under the "**Basic Info**" tab, you can update your chatbot's details and immediately see the impact of these changes through the chat interface on the right.&#x20;

Here, you can directly interact with your chatbot, observing its responses to your questions. This real-time feedback allows you to fine-tune the settings until you're satisfied with how your chatbot performs.

<figure><img src="/files/ToVTmmmdTfXYIw5QfEZr" alt=""><figcaption></figcaption></figure>

You can also adjust the LLM parameters under "**LLM Parameters**" tab  to influence the chatbot's behaviours and responses, tailoring them to different scenarios.

Currently there are 3 parameters available for refinement:

1. **Confidence Score**
2. **Temperature**
3. **Chunk Size**

The functions of each parameter are provided to assist users in the fine-tuning process.

<figure><img src="/files/7vDKnoDtUfF4B0HFCF2p" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/oOp4iDlfVTMlKAh4DWeo" alt=""><figcaption></figcaption></figure>

Four ready templates are available for selection:

1. **Reliable Insight**
2. **Smart Balance**
3. **Creative Spark**
4. **Innovation Burst**

The choice of template, ranging from Reliable Insight to Innovation Burst, progressively enhances the creativity and dynamic behaviour of your chatbot. It might be necessary to experiment with different settings through a process of "Trial and Error" to discover the optimal parameter combination.

<figure><img src="/files/0wTgra9BIer78Ou9MMyo" alt=""><figcaption></figcaption></figure>

Additionally, you have the option to individually tweak each parameter to more closely align with your specific requirements. If the chatbot's performance doesn't meet your expectations, you can easily revert all settings to their original state by clicking the "**Reset"** button, which restores all parameters to their default values.

<figure><img src="/files/LVCpezTRmwnv1O5KWYEn" alt=""><figcaption></figcaption></figure>


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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.starrynift.art/starryai/my-bot/customisation-options/basic-info..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.
