WhiteLightning is distributed using Docker containers, developers can start using it by simply installing Docker and pulling the image, avoiding complex Python environment configuration. The tool provides a variety of advanced configuration options:
- Optimize the number of cycles by prompting with the -r parameter setting
- Whether or not to generate edge cases can be controlled with -generate-edge-cases
- Support for adjusting data volume per class (-target-volume-per-class)
- Data synthesis can be specified using a different large language model
These options allow developers to precisely tune for different task requirements.
This answer comes from the articleWhiteLightning: an open source tool for generating lightweight offline text classification models in one clickThe
May not be reproduced without permission:AI productivity tools " WhiteLightning offers a Docker container installation method and a variety of advanced configuration options.
