What is ACP

Beta version: The platform is in a development stage of the final version, which may be less stable than usual. The efficiency of platform access and usage might be limited. For example, the platform might crash, some features might not work properly, or some data might be lost.

AI Cloud Platform (ACP) is a VISAI’s AI platform providing advanced machine learning models that help anyone to build high-quality and high-performance AI-enabled solutions with or without expertise.

With our low-code and no-code interfaces, users can interact with our platform in two modes:

1. “Base model”, users can select a model from our existing pre-trained models and use the model via an API server created specifically for the model.

2. “Your model”, users can select our state-of-the-art AI model, and then apply their dataset to create a model that fits their deployment environment. The model can be stored for later use or shared with other users via an API.

Introduction

There are three main menus on ACP showing in the product title section including:

1. Overview

The overview menu is an essential menu that every user should read before going through other menus. The menu shows the description about the product. You can study the model’s detail about input, training approach, and output. Importantly, the best practice advice for preparing data, training model, and using model is all provided here. Please read it with care and attention.

Overview Page (Example: Sentiment Analysis product)

2. Base Model (Pre-trained model)

We provide high performance pre-trained models created by our AI team or third-party partners. Users can only get API created specifically for each model, and then plug in to users’ application.

Base model Page (Example: Sentiment Analysis product)

• For how to use base model, please read more in the section: How to use "Base model"

3. Your Model

We provide training pipeline services as your model mode; users can use their data with our state-of-the-art AI model to make their own domain-specific model. This allows the model to learn on real use data which would improve the model’s performance. After creating your own model, the API would be generated for particular user and model only.

Your model Page (Example: Sentiment Analysis product)

• For how to use your model, please read more in the section: How to use "Your model"