Scenario

This section describes the main application scenarios of DataArtsFabric.

• Data engineering

  Efficiently process data through parallel computing, accelerating tasks such as data cleansing, conversion, and aggregation.

• Distributed machine learning

  Leverage Ray for distributed training and tuning, enabling efficient model training with large-scale datasets and models.

• Foundation models

  Utilize large models to implement intelligent dialogues, automatic summarization, machine translation, text classification, and image generation.

• Real-time data analysis

  Perform queries and analysis on massive datasets using standard SQL APIs.