Elastic Algorithm Service

Developing and Deploying a Tensorflow Model Using PAI DSW and PAI EAS for a Custom Image Dataset

Our ultimate purpose is to mount this OSS image dataset to the DSW instance and enable the usage of the dataset the same way I used in the standalone .

Deploy a Llama Model as a Web Application in EAS

This article describes how to deploy a Llama 2 model or a fine-tuned model as a ChatLLM-WebUI application, start the web UI, and perform model inference by using API operations.

Deploy Stable Diffusion API Service in EAS

This article describes how to use Elastic Algorithm Service (EAS) of Platform for AI (AI) to deploy the Stable Diffusion (SD) API service and how to use SD APIs for model inference.

Deploy a LoRA SD Model by Using Kohya_ss in EAS

This article describes how to deploy the open source Kohya_ss and train a Low-Rank Adaptation (LoRA) model by using the Kohya_ss in the EAS of PAI.

Deploy Stable Diffusion for AI Painting with EAS in a Few Clicks

This article describes how to use an image to deploy the Stable Diffusion model as a web application in EAS, perform model inference with web UI and generate images based on text prompts.

Unlock the Power of AI: A Comprehensive Guide to Alibaba Cloud's Platform for AI

This article delves into the key features and functionalities of Alibaba Cloud's Platform for AI, exploring its capabilities from data preparation to model deployment.

Empowering Generative AI with Alibaba Cloud PAI's Advanced LLM and LangChain Features

This article introduces Alibaba Cloud PAI, a platform that combines AI capabilities with Langchain and LLM to revolutionize the field of Generative AI.

PAI Visualized Modeling: Enroute from Development to Deployment

The model deployment section below has Elastic Algorithm Service (EAS) which houses the deployment models already available and acts as a platform to deploy the customized models created by the users.