Below is a style guide for all the layout content, including: headings, paragraphs, typography, color scheme, buttons and links.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
This is paragraph text
"This is the best book i've ever read"
Person mcPherson - Books Inc
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
This is Paragraph rich text in 18pt
This is text containing a link which can sometimes be quite long! and it should not look weird.
"This is a quote! There's no way to style it much beyond this point"
Person mcPherson - Books Inc
However quote blocks may be used as CTA boxes
The general idea of zero-shot learning is to transfer the knowledge already contained in the training instances to the task of testing instance classification. Thus, zero-shot learning is a subfield of transfer learning.Therefore, Zero-Shot Learning is a subfield of Transfer Learning.The most common form of Transfer Learning involves fine-tuning a pre-trained model—a problem with the same feature and label spaces. This is called “homogenous transfer learning.”However, Zero-Shot Learning belongs to “heterogeneous transfer learning”, where the feature and label spaces are disparate.The importance of Zero-Shot LearningData labeling is a labor-intensive job. Most of the time invested in any AI project is allotted to data-centric operations. And—It is especially difficult to obtain annotations, where specialized experts in the field are required to do