Feature Request: Question Answering - Build a QA System Using BERT or T5

[HsiangNianian]

A question-answering system is designed to automatically answer user questions from a text corpus. This task will involve building or fine-tuning a QA model based on models like BERT or T5.

• Data Source: Should we use pre-existing datasets like SQuAD, or custom datasets?
• Model Choice: Should we leverage pre-trained models or start from scratch?
• Accuracy Metrics: How do we evaluate the accuracy of answers?

Expected Outcome:

• A question-answering system capable of answering questions from large text corpora.
• Integration into iamai for easy deployment.

Labels: feature, NLP, question-answering