> For the complete documentation index, see [llms.txt](https://docs.deep3.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.deep3.ai/the-technology/ai-models.md).

# AI Models

## What is a Model? 

<figure><img src="/files/YkoGvs62LEpjdpprvYPz" alt=""><figcaption></figcaption></figure>

A machine learning model is a smart system that learns from data to predict outcomes or help you make decisions. Think of it like a recipe: you provide the ingredients (data), and the model mixes them using math to create something useful—whether that's predicting trends or identifying patterns.

In Web2, these models have been the secret sauce behind popular tools such as recommendation engines, search results, and targeted ads. They analyze vast amounts of data to deliver personalized experiences and efficient services. With Deep3, we adapt these proven techniques to blockchain data, opening up exciting new applications in trading, advertising, and security.

## How can models be products for Deep3?&#x20;

<figure><img src="/files/ctxJcvrEKq3yBtSFD7JP" alt=""><figcaption></figcaption></figure>

At Deep3, our models are not hidden behind the scenes—they are built into products that deliver real value. In trading, our models can forecast market trends and help optimize investment strategies. In advertising, they tailor content to the right audience at the right time, while in security, they work to detect potential threats before they become problems.

By packaging these advanced machine learning capabilities into easy-to-use products — whether in our dapps or for other builders to use via our API — , we empower both individuals and businesses to make smarter decisions on Web3. Whether you’re a trader looking to stay ahead of the curve, a marketer striving for better targeting, or a security team aiming to protect your assets, Deep3’s models transform raw data into actionable insights that drive success in the world of Web3.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.deep3.ai/the-technology/ai-models.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.