- Data Improvement: Explore more diverse datasets, extend the arXiv dataset.
- Hyperparameter Optimization: Fine-tune hyperparameters like learning rate and gradient clipping.
- Test Starting Models: Check the performance of LORA on a large model vs fine-tune on a smaller model.
- Deployment Strategy: Decide on the front end and hardware options, determine access permissions.