* Create T5_closed_book_QA_generators.py
This is code that can be run in a notebook or by itself to generate a dictionary for use in creating synthetic dialogue that can be verified for factual accuracy. To use this notebook your need your trusted source material to be in the format of a list of strings (they will be truncated to under 1100 characters). Requires transformers and accelerate. Make sure to use T5 with bfloat16 or full precision.
* Create T5_closed_book_QA_generators.py
* Create T5_closed_book_QA_generators.md
* Delete T5_closed_book_QA_generators.py
Moved to proper folder structure
* fixed pre-commit issues
Co-authored-by: Yannic Kilcher <yk@users.noreply.github.com>
