an example how a book may look like
a lot of pgfornaments (without using pgfornaments thanks to Dr. Lian Tze Lim from Overleaf)
can be compiled into "periodical aureo" page size (almost canon conform) but with the switcher in main.tex file if you prefer a tablet or a screen reading.
the calligraphy used for letters can be switched off for people who are not used to read handwriting, same for audio links
(If you just want to read the book, it's best to download the PDF for offline reading, rather than waiting for it to render completely in the previewer on this page.)
Model cards - https://arxiv.org/abs/1810.03993
Are "short documents accompanying trained machine learning models that provide benchmarked evaluation in a variety of conditions, such as across different cultural, demographic, or phenotypic groups... and intersectional groups... that are relevant to the intended application domains. Model cards also disclose the context in which models are intended to be used, details of the performance evaluation procedures, and other relevant information."
Model cards were motivated by systematic bias in commercial applications that were discovered only after the models were released. To counter that, the authors "advocate for measures of model performance that contain quantitative evaluation results to be broken down by individual cultural, demographic, or phenotypic groups, domain-relevant conditions, and intersectional analysis combining two (or more) groups and conditions." The emphasis on ethical aspects of the measurements is a distinguishing feature of model cards, compared to other proposals to document models.