This topic lists the use cases of Elastic Algorithm Service (EAS) of Platform for AI (PAI).
LLM
Case | Description |
This topic describes how to use EAS of PAI to deploy a large language model as an AI-powered web application. After you deploy the LLM, you can call the application by using the web UI or API operations. | |
This topic walks you through the complete process of deploying a RAG-based LLM chatbot. | |
This topic describes how to deploy a web application based on the open source model Tongyi Qianwen and perform model inference on the web page or by using API operations in EAS of PAI. | |
This topic describes how to quickly deploy a Llama 3 model and use the deployed web application in Elastic Algorithm Service of Platform for AI. |
AIGC
Case | Description |
This topic describes how to deploy and call Multimodal large language model (MLLM) inference services by using EAS. | |
This topic describes how to deploy an AI video generation application powered by ComfyUI and Stable Video Diffusion models in EAS. You can quickly implement an AI-powered text-to-video solution that helps you complete tasks such as generating short videos or animation on social platforms. | |
This topic describes how to deploy the Stable Diffusion model as a web application in EAS, perform model inference with the web application and generate images based on text prompts. | |
This topic describes how to deploy open source Kohya_ss and train a Low-Rank Adaptation (LoRA) model by using Kohya_ss in EAS. This topic also describes how to apply the trained LoRA model in the Stable Diffusion service. |
General use cases
Case | Description |
This topic describes how to access a dedicated gateway across VPCs. | |
This topic describes how to deploy a Hugging Face model in EAS. |