How can Generative AI pipelines be automated for data curation tasks

Question

With the help of code, can you tell me how Generative AI pipelines can be automated for data curation tasks?

Answer 1

Generative AI pipelines can be automated for data curation by leveraging pre-processing scripts, model training, and post-processing steps using automated workflows. 

Here is the code snippet showing how it is done:

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

• Dataset Loading: Automates the process of loading data for curation tasks.
• Tokenization and Generation: A pre-trained GPT -2 model is used to generate text or summaries and automate data augmentation.
• Batch Processing: Applies the pipeline to the entire dataset to automate the curation of large data volumes.

Hence, automating generative AI pipelines for data curation enhances efficiency by reducing manual tasks and quickly processing large datasets for tasks like summarization, augmentation, and cleaning.