Future Works
Alot can be done to improve these models to special domains
Future Works
This is an ongoing project, and there are many ways to further improve models for specialized domains like medicine. Future work could involve expanding the dataset, increasing computational resources, and experimenting with advanced fine-tuning techniques.
As discussed in the Thinking Machines LoRA with regret post, there are innovative approaches and lessons learned from using LoRA and similar methods. Exploring these strategies can help enhance model performance and adaptability for domain-specific tasks.
Other promising directions include:
- Improving model interpretability and explainability for clinical use
- Ensuring data privacy and security in medical applications
- Collaborating with healthcare professionals for better domain alignment
- Deploying models in real-world healthcare settings and monitoring their impact
- Integrating multimodal data (text, images, signals) for richer insights
- Continuous learning and updating models as new medical knowledge emerges
Continued research and development will ensure that these models become even more accurate, reliable, and useful in real-world medical applications.