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  2. 10 Critical Steps to Writing ChatGPT Prompts for Beginners - AOL

    www.aol.com/10-critical-steps-writing-chatgpt...

    2. Define your target audience. The more context you can provide in your prompt, the better—and this includes who might read ChatGPT's responses. For example, if you use ChatGPT to outline a ...

  3. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts.The ability for in-context learning is an emergent ability [14] of large language models.

  4. Free writing - Wikipedia

    en.wikipedia.org/wiki/Free_writing

    Free writing is traditionally regarded as a prewriting technique practiced in academic environments, in which a person writes continuously for a set period of time with limited concern for rhetoric, conventions, and mechanics, sometimes working from a specific prompt provided by a teacher. [ 1] While free writing often produces raw, or even ...

  5. History of writing - Wikipedia

    en.wikipedia.org/wiki/History_of_writing

    The history of writing traces the development of writing systems [ 1] and how their use transformed and was transformed by different societies. The use of writing prefigures various social and psychological consequences associated with literacy and literary culture. With each historical invention of writing, true writing systems were preceded ...

  6. List of writing systems - Wikipedia

    en.wikipedia.org/wiki/List_of_writing_systems

    Writing systems are used to record human language, and may be classified according to certain common features.. The usual name of the script is given first; the name of the languages in which the script is written follows (in brackets), particularly in the case where the language name differs from the script name.

  7. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

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