How can I fine-tune a generative AI model for document processing tasks to achieve higher accuracy in extracting structured data

Question

With the help of proper code can you tell me How can I fine-tune a generative AI model for document processing tasks to achieve higher accuracy in extracting structured data?

Answer 1

Fine-tuning a generative AI model for document processing improves structured data extraction by training on domain-specific labeled datasets, leveraging transfer learning, and using reinforcement learning for accuracy enhancement.

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 structured document processing.
• Fine-Tunes on Domain-Specific Data for better accuracy.
• Utilizes Tokenization for Efficient Model Input Handling.
• Employs Transformer-Based Learning to generalize structured data extraction.
• Optimizes Accuracy by Training on Labeled Examples.

Hence, fine-tuning generative AI for document processing enhances structured data extraction accuracy by leveraging labeled datasets, transformer-based learning, and transfer learning techniques.