Description
In this project, we aim to develop an advanced Natural Language Processing (NLP) model
leveraging Large Language Models (LLMs) and Generative AI tools to enhance patient
care and optimize operational efficiencies at Roche. This project aligns with Roche’s
commitment to diversity, equity, and inclusion by focusing on personalized healthcare
solutions that cater to diverse populations globally.
You’ll discover :
1. Project Overview
2. Summary of Benefits
Time Gained
Money Saved
Lives Saved
Additional Benefits
3. Details on the Benefits
Time Gained
Money Saved
Lives Saved
Additional Benefits
4. Project Steps
Data Collection and Preprocessing
Model Development
Evaluation and Optimization
Deployment and Monitoring
5. Data Generation (Synthetic)
6. Model Development (Using Transformers)
7. Model Evaluation Results
8. Conclusion
9. Why the Model’s Performance is Suboptimal on Randomly Generated Data
10. Strategies to Improve the Model
11. Annexes
