> For the complete documentation index, see [llms.txt](https://sealai.gitbook.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sealai.gitbook.io/documentation/seal-ai.md). # Seal AI \*\*This section is currently under construction. Please check back later for updates. In short, SealAI is a general runtime engine that supports all major types of GenAI models. It provides fast performance on all major hardware platforms. SealAI's architecture uses compiler code generation optimization techniques. SealAI also supports fine-tuning and provides flexibility for model refinement and adaptation. With SealAI, we enable you can build your AI assistant and have the ability of deploying compound AI system on your edge. SealAI is a plug-and-play framework, specifically designed for a spectrum of large foundational models such as LLM, text-to-speech, video generation, music generation, and vision transformer models on various computing platforms. SealAI aims to overcome the limitations of conventional compiler methods. To overcome those limitations, the SealAI runtime framework separates the operator library frontend and the (cross-device) backend support. For the front end (i.e. the interpreter), it applies to all kinds of general large-scale foundational models. The backend engine leverages unique acceleration techniques, which are online, instantaneous optimizations especially suitable for ultra-deep transformer structures. #### Benefits * Enhanced model adaptability and fine-tuning * Accelerated processing for large-scale GenAI models * Seamless integration across various platforms * Superior model performance on edge * User-friendly interface with minimal setup

#### Features * Run your inference with one-click * General AI model support * Superior Performant * Run your customized models (LoRA, Checkpoint) * Plug and Play * Hardware agnostic

## Getting Started Simply download our [SealAI](https://sealai.gitbook.io/documentation/www.sealml.ai) to run inference with one-click on your device. Pick and download your model in the app and start to build!

## Model Supporting Model management on SealAI.

### Importing Your Model Once you've picked your model, you can easily import it into SealAI by following these steps: 1. Open the SealAI application. 2. Navigate to the 'Models Management' section from the main menu. 3. Click on the 'Import Model' button. 4. Select the downloaded model file from your device. 5. Follow the on-screen prompts to complete the import process. With your model imported, you can now leverage SealAI's powerful features to manage and deploy your models efficiently. --- # 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: ``` GET https://sealai.gitbook.io/documentation/seal-ai.md?ask= ``` 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.