Finetuner project is composed of three components:

  • Tuner: to tune any embedding model for better embedding on labeled data;

  • Tailor: to convert any deep neural network into an embedding model;

  • Labeler: a UI for interactive labeling and conducting active learning via Tuner.



The three components can be used in combination under different scenarios.