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PlexPtawesome-chatgpt-prompts-zh

Awesome Chatgpt Prompts Zh

Features

  • Instruction-Following LayersA secondary layer of logic interprets user-provided constraints to override default model tendencies and enforce domain-specific response patterns.
  • Few-Shot Persona ConditioningThe model adopts specialized behaviors by processing predefined context blocks that define the rules and constraints of the interaction.
  • Prompt Engineering LibrariesA community-driven library providing reusable templates for interacting with conversational artificial intelligence models effectively.
  • Prompt CollectionsA curated repository of structured text inputs designed to guide large language models into specific roles and behaviors.
  • Prompt Engineering Utilities| Refining and structuring natural language instructions to improve the quality and relevance of responses from large language models.
  • Technical Task Automators| Leveraging language models to perform technical tasks like code generation, database querying, and terminal command simulation for productivity.
  • AI Persona Simulations| Adopting specific roles or character traits to guide an artificial intelligence in providing specialized or context-aware assistance.
  • Generative Art Prompts| Using structured prompts to produce specific artistic outputs such as vector graphics, descriptive imagery, or polished academic writing.
  • Persona Simulation EnginesThe system uses structured natural language instructions to constrain the model into specific personas and operational modes.
  • Persona Instruction SetsA collection of persona-based directives that constrain model output to simulate professional experts or functional technical environments.
  • Output Formatting ConstraintsThe system enforces strict output schemas by instructing the model to suppress conversational filler and adhere to specific data formats.
  • Domain-Specific Prompt LibrariesA categorized set of specialized instructions tailored for tasks ranging from software development to creative design and linguistic analysis.
  • Contextual State EmulatorsThe model maintains the illusion of a persistent environment by simulating the input-output behavior of external tools like terminals or interpreters.
  • Persona Tuning Tutorials[](#如果你想将你的-chatgpt-调教成一只猫娘最新的教程在这里-猫娘持续讨论更新)
  • Programming Environment Simulators> 我想让你充当 R 解释器。我将输入命令,你将回复终端应显示的内容。我希望您只在一个唯一的代码块内回复终端输出,而不是其他任何内容。不要写解释。除非我指示您这样做,否则不要键入命令。当我需要用英语告诉你一些事情时,我会把文字放在大括号内{like this}。我的第一个命令是“sample(x = 1:10, size = 5)”
  • IT Architecture Advisors> 我希望你充当 IT 专家。我会向您提供有关我的技术问题所需的所有信息,而您的职责是解决我的问题。你应该使用你的项目管理知识,敏捷开发知识来解决我的问题。在您的回答中使用适合所有级别的人的智能、简单和易于理解的语言将很有帮助。用要点逐步解释您的解决方案很有帮助。我希望您回复解决方案,而不是写任何解释。我的第一个问题是“我的笔记本电脑出现蓝屏错误”。
  • PHP Interpreters> 我希望你表现得像一个 php 解释器。我会把代码写给你,你会用 php 解释器的输出来响应。我希望您只在一个唯一的代码块内回复终端输出,而不是其他任何内容。不要写解释。除非我指示您这样做,否则不要键入命令。当我需要用英语告诉你一些事情时,我会把文字放在大括号内{like this}。我的第一个命令是 <?php echo 'Current PHP version: ' . phpversion(); ?>