# VtAI

Our AI Compute Layer is a Web 3-based infrastructure for scaling AI computation tasks and easy deployment of AI-enabled applications, including deep learning, predictive analytics, large language models (LLM), federated learning, and AI edge computing. Our Computation Layer is designed to bring both AI-driven capabilities to blockchain applications and Web-3 features to off-chain AI apps.

#### The VtAI Trifecta 

The VtAI Trifecta is our vision of how value is delivered by VtAI using decentralized AI technology. The Trifecta focuses on using our decentralized AI infrastructure to empower use cases with substantial real-world value.

**AI Alpha**

Unleashing the power of AI for alpha generation, or creating profit for users, as in the case of Vtrading.

**AI Insights**

Make predictive AI insights accessible, scalable, and easy to utilize, via Vtrading’s AI model service.

**AI Productivity**

Leverage AI to change the way you work, research, and learn, through technology such as VtradingLLM.

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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://vtrading.gitbook.io/vtrading-docs/ecosystem/vtai.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.