How to change the tone and style of text using neural networks

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Neural networks are universal assistants in working with texts. They write , rewrite, translate, edit, prepare a summary. And they can also change the style and tone, even adapt to your author's style. An excellent solution when you need to make the text "more fun" or present it in a restrained official style.

Today, we'll be checking out how this feature works with Contentim editors and sharing best practices and tips.

Content
Changing Text Style in Chat GPT
The basic prompt for generative neural networks when you cyprus phone number library want to get text is [instruction] + [context]. You specify what you want to get and add details. For example:

"Write a LinkedIn post about the top content marketing trends of 2024" - instructions.

"For a target audience of marketers, editors, managers and entrepreneurs, no longer than 1000 characters" - context.



To these two basic points we can add one more - style. For example:

academic — academic;
analytical — analytical;
argumentative — evidential;
conversational — conversational;
creative — creative;
critical — critical;
descriptive — descriptive;
epigrammatic - aphoristic;
epistolary — epistolary;
expository - explanatory;
informative — informative;
instructive — instructive;
journalistic — publicistic;
metaphorical — metaphorical;
narrative — narrative;
persuasive — convincing;
poetic — poetic;