Key Changes
Feature Enhancements
- Train L1 Exposure Functionality (#319)
- Added frontend training progress components
- Implemented new exposure model training components
- Backend support with L1_exposure_manager
- Optimized training progress tracking system
- Meta Exposure Features (#313)
- Updated TrainingTags support
- Enhanced upload client functionality
- Optimized upload routes
Bug Fixes
- Model-related Fixes
- Optimized model tokenizer implementation, removed redundant code
- Fixed errors during graphrag process (#347)
- Resolved model deployment issues in CUDA + Windows environments
- System Optimizations
- Code Optimization
- Removed redundant code in route_l2.py (#332), reducing approximately 550 lines of code
Technical Details
- 11 commits included
- 15 files modified
- Approximately 492 lines added, 631 lines removed
Testing Status
- Verified on both Windows and Linux environments
- CUDA environment deployment testing passed
- Training process integrity tests passed
Notes
This merge includes a series of important features and critical fixes. It is recommended that team members conduct comprehensive testing after merging, especially for model training and deployment-related functionality.