> For the complete documentation index, see [llms.txt](https://docs.float16.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.float16.cloud/prompting/chat.md).

# Chat

### Intro

ChatGPT is one of the well-known use cases that draws our attention to the capabilities of LLMs.

### How it work ?

The chat capability of an LLM is not a magic trick. It's based on a prompt template that segments user turns and assistant (LLM) turns and combines them. That's why an LLM can recall information from previous chats.

The system prompt can be an important part because it allows us to control the chat style and chat objectives.

{% code overflow="wrap" %}

```
SYSTEM PROMPT
You are an assistant and need to collect data from the user, including their name, age, and gender. You need to guide and help the user input the correct data.
USER PROMPT
What about pricing ?
```

{% endcode %}

{% hint style="info" %}
A software developer could consider this ability to be a **new type** of capability for programming languages.
{% endhint %}

### Prompt example

{% embed url="<https://prompt.float16.cloud/prompt/b3f3884a-ff37-42aa-bc84-de263bcfd108>" %}
Change previous number into another language
{% endembed %}

{% embed url="<https://prompt.float16.cloud/prompt/9a265806-eeb7-4dd7-9c8c-cdceaee969fd>" %}
Chatbot to collect information
{% endembed %}

{% embed url="<https://prompt.float16.cloud/prompt/e4925c87-2261-4877-9168-9871a4459104>" %}
Chatbot to collect information and refused non-relevant task
{% endembed %}