Changelog
Version 0.0.1
Datastores:
- Added
- Support for encoding and indexing in a very convenient way (using pip packages) Multi-gpu support for encoding with SBERT models.
- Tutorials for an easy understanding of datastores.
Models:
- Added
- ONNX models: BERT, Roberta, T5 and BART
- Automated deployment of ONNX models
- Improved the model management server and added API to update the parameters of deployed models. This makes it easier to use GPU inference.
- Fixed
- Issues in the generation pipeline of adapter-transformers
Explainability:
- Add checklist tests for Commonsense QA
UI:
- Added
- Landing page
- Feedback page
- Commonsense explainability data
- Fixed
- When providing context on an open domain skill the context was visualized instead of the prediction documents Mobile landscape view used default safe area inserts
Skills:
- Added
- documentation of skills, skill-manager, and skill-API
- Updated
- Changes to .env file setup for better secrets management
Documentation:
- Added:
- Local setup of SQuARE platform
- Updated
- project README with the new additions
- documentation website to align with the new changes