Does labeling more documents improve the performance of a Generative AI processor or does it only enhance custom-trained models on Google Cloud Document AI

Question

Can you tell me, with the help of code, whether labeling more documents improves the performance of a Generative AI processor or only enhances custom-trained models on Google Cloud Document AI?

Answer 1

Labeling more documents improves the performance of custom-trained models on Google Cloud Document AI, as it enhances the model's ability to learn patterns and extract entities specific to your domain. 

Here is the code snippet you can follow:

In the above code, we are using the following  key points:

• Custom Models: Labeling improves performance by aligning the model to specific data and tasks.
• Pre-Trained Models: No direct impact, but labeling can help when fine-tuning or building custom solutions.
• Google Cloud: Use labeled datasets to train processors tailored to specific workflows.