# AI Training

The **AI Training** feature in Zipchat helps you refine your chatbot's performance, ensuring it gets better at understanding and responding to customer queries. By tailoring the AI to align with your brand’s tone, products, and industry knowledge, you can create a chatbot that feels like a natural extension of your team.

<figure><img src="/files/xm2FvuBHNmBhYV065uUK" alt=""><figcaption></figcaption></figure>

### Key Features

1. **Train with Additional Context**\
   Provide resources like:
   * **PDFs**: Upload product guides, FAQs, or manuals.
   * **Links**: Add website pages or external articles.
   * **👉** [**More details here**](/installation-and-setup/ai-training/knowledge-base.md)&#x20;
2. **Correct Inaccurate Responses**\
   If the AI gives an off-the-mark reply, you can step in and correct it. These corrections help the chatbot learn and improve over time, making future interactions more accurate and helpful.
3. **Feedback Loop**\
   Every interaction contributes to a feedback system. Monitor customer ratings on AI responses ("good" or "bad") and use this input to fine-tune its performance.
4. **Brand Alignment**\
   Customize responses to match your brand’s tone and language. Whether your style is casual and friendly or professional and precise, you can shape the chatbot to speak just like your team.

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### Why AI Training Matters

* **Better Customer Experience**: Tailored responses build trust and show customers you understand their needs.
* **Increased Accuracy**: As the AI learns from corrections and added context, it can handle more complex questions confidently.
* **Consistency**: Ensure every customer interaction reflects your brand’s values and messaging.

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### How It Works

1. **Upload Resources**\
   Add key documents or links to train the AI on specific topics.
2. **Review Chat History**\
   Look at past interactions to identify responses that need improvement.
3. **Make Corrections**\
   Adjust the AI’s reply to align with your standards. For example, correct product details or refine explanations.
4. **Monitor Progress**\
   Track how well the AI performs over time using feedback and chat success metrics.


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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.zipchat.ai/installation-and-setup/ai-training.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.