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  2. Harvard sentences - Wikipedia

    en.wikipedia.org/wiki/Harvard_sentences

    The Harvard sentences, or Harvard lines, [1] is a collection of 720 sample phrases, divided into lists of 10, used for standardized testing of Voice over IP, cellular, and other telephone systems. They are phonetically balanced sentences that use specific phonemes at the same frequency they appear in English.

  3. Rhetorical modes - Wikipedia

    en.wikipedia.org/wiki/Rhetorical_modes

    Expository writing is a type of writing where the purpose is to explain or inform the audience about a topic. [13] It is considered one of the four most common rhetorical modes. [14] The purpose of expository writing is to explain and analyze information by presenting an idea, relevant evidence, and appropriate discussion.

  4. Reading Like a Writer - Wikipedia

    en.wikipedia.org/wiki/Reading_Like_a_Writer

    She gives examples from literature of point-of-view variations. First person and third person are discussed, and even an example of writing fiction in second person is given. Chapter Six: Character; Using examples from the works of Heinrich von Kleist and Jane Austen, Prose discusses how writers can develop characterization. She mentions that ...

  5. Serial comma - Wikipedia

    en.wikipedia.org/wiki/Serial_comma

    The serial comma (also referred to as the series comma, Oxford comma, [1] or Harvard comma [2]) is a comma placed after the second-to-last term in a list (just before the conjunction) when writing out three or more terms.

  6. Talk:Harvard sentences - Wikipedia

    en.wikipedia.org/wiki/Talk:Harvard_sentences

    The article says that these sentences are "freely usable" and other sites also say as much, and it seems always to have been the case that these sentences were recorded, shared, and redistributed. What is the copyright status of these sentences in modern terms?

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.