Improving Document AI accuracy with generative AI involves fine-tuning pre-trained models, using synthetic data augmentation, and implementing self-supervised learning for enhanced text understanding.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Uses a Pre-trained T5 Model for document AI tasks.
- Implements Fine-Tuning with Synthetic Data to improve generalization.
- Tokenizes Text Data Efficiently for structured model input.
- Utilizes Hugging Face’s Trainer API for easy training.
Hence, enhancing Document AI accuracy with generative AI involves fine-tuning models, leveraging synthetic data augmentation, and applying self-supervised learning for better document understanding.