# Tutorials

Welcome! We have cooked up a few tutorials to help you get started on ByteNite. 

<table data-view="cards"><thead><tr><th></th><th data-type="content-ref"></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden></th></tr></thead><tbody><tr><td><h2>Hello World</h2></td><td><a href="tutorials/hello-world">hello-world</a></td><td>Build a simple "Hello, World" app on ByteNite.</td><td><a href="tutorials/hello-world">hello-world</a></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2FT6kogyHfYQ2LjLa3xDxP%2FAdobeStock_490529301%20Large.jpeg?alt=media&#x26;token=8fe51041-2ec6-4fef-b4f4-34d7af4c7f08">AdobeStock_490529301 Large.jpeg</a></td><td><em><mark style="color:purple;">~15min</mark></em></td></tr><tr><td><h2>Image Generation</h2></td><td><a href="https://github.com/ByteNite2/img-gen-diffusers">https://github.com/ByteNite2/img-gen-diffusers</a></td><td>Run a distributed image generation job using Pytorch and Diffusers on ByteNite.</td><td><a href="https://github.com/ByteNite2/img-gen-diffusers">https://github.com/ByteNite2/img-gen-diffusers</a></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2F6Jv2DkOgo4vbUOB35ek1%2Fu7431618293_A_cover_for_a_developer_guide_called_Image_Genera_8de505b4-40c9-40df-87ec-b3864f0a9c2f_0.png?alt=media&#x26;token=0864a1cb-cfe1-47a3-99f2-e1b5513bd370">u7431618293_A_cover_for_a_developer_guide_called_Image_Genera_8de505b4-40c9-40df-87ec-b3864f0a9c2f_0.png</a></td><td><em><mark style="color:purple;">~45min</mark></em></td></tr><tr><td><h2>LLM Serving</h2></td><td><a href="https://github.com/ByteNite2/llm-serving">https://github.com/ByteNite2/llm-serving</a></td><td>Serve a quantized 17B Llama 4 Scout model using <code>llama-cpp-python</code> on ByteNite. </td><td></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2F04tY56hsW89KWDrE1k33%2Fllm-serving-llama-meta-ai.webp?alt=media&#x26;token=06ae9aa9-d5af-4883-812d-4e4f64865c1c">llm-serving-llama-meta-ai.webp</a></td><td></td></tr><tr><td><h2>Web Scraping</h2></td><td><a href="https://github.com/ByteNite2/web-scraper">https://github.com/ByteNite2/web-scraper</a></td><td>Scrape Amazon product data at scale using Playwright, extracting titles, prices, and buyer counts on ByteNite.</td><td></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2FL0QnvKcdXJhXVm8Zi0Oe%2Fweb-crawling-spider.webp?alt=media&#x26;token=d1899e5d-7aac-4e36-a666-11348f17149d">web-crawling-spider.webp</a></td><td></td></tr></tbody></table>

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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.bytenite.com/examples/tutorials.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.