doc-exports/docs/modelarts/umn/modelarts_01_0003.html
Lai, Weijian 4e4b2d5f6d ModelArts UMN 23.3.0 Version.
Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
2024-06-26 07:03:02 +00:00

2.6 KiB

Functions

AI engineers face challenges in the installation and configuration of various AI tools, data preparation, and model training. To address these challenges, the one-stop AI development platform ModelArts is provided. The platform integrates data preparation, algorithm development, model training, and model deployment into the production environment, allowing AI engineers to perform one-stop AI development.

Figure 1 Function overview

ModelArts has the following features:

  • Data governance

    Manages data preparation, such as data filtering and labeling, and dataset versions.

  • Rapid and simplified model training

    Enables high-performance distributed training and simplifies coding with the self-developed MoXing deep learning framework.

  • Multi-scenario deployment

    Deploys models in various production environments, and supports real-time and batch inference.

  • Auto learning

    Enables model building without coding and supports image classification, object detection, and predictive analytics.