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aj integrates directly with Label Studio, the popular open-source data labeling tool, turning your on-device AI models into a powerful ML backend for annotation tasks. How it Works: You can configure Label Studio to use your aj app as a custom Machine Learning backend. When you’re labeling a dataset, you can simply click a button to have one of your on-device models pre-annotate the data for you.
  1. Start the In-App Server: Activate the HostedRagService from within the app.
  2. Connect Label Studio: In your Label Studio project settings, add the aj app as an ML backend.
  3. Pre-annotate with Your Models: When labeling your data, the “Predict” button will now send the task to your aj app.
Key Benefits:
  • Use Your Own Models: Leverage your own fine-tuned, custom, or open-source models running locally on your machine.
  • Accelerate Annotation: Pre-annotation significantly speeds up the manual labeling process.
  • Ensure Data Privacy: Because the entire workflow runs on your local network, your sensitive data never leaves your control.
  • Zero-Dependency Integration: The integration is built directly into the app.