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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/generative-ai-prompt-engineering-for-everyone
课程评论：没有评论
课程名称：生成式人工智能：提示工程基础 课程概述：本课程旨在为所有人，尤其是专业人士、高管、学生和对有效的提示工程技术感兴趣的爱好者，提供利用生成式人工智能（AI）工具（如ChatGPT）潜力的技能。提示工程是一个有效引导生成式AI模型并控制其输出以生成所需结果的过程。在本课程中，您将学习编写有效提示的技术、方法和最佳实践。 课程大纲： 1. **提示工程概述**：本模块将介绍提示的关键要素，以及如何通过提问、陈述和指令等不同格式有效编写提示。此外，您还将探索提示工程的概念及其在引导生成式AI模型产生相关和准确回应中的重要性。模块将介绍提示创建的最佳实践，并概述常用的提示工程工具。通过实验室实践，您将学习设计清晰、简洁和上下文敏感的提示，从简单的方法开始，逐步进阶到更加精细的方法，如角色模式。同时，专家的见解将帮助您理解实际应用以及提示工程在生成式AI中的不断演变角色。 2. **提示工程：技术与方法**：在本模块中，您将探索多种增强生成式AI模型有效性的提示工程技术和方法。您将学习如何应用面试模式、思维链和思维树等方法，提高AI回应的具体性、一致性和推理能力。通过实验室练习，您将应用这些方法创建具体、一致和多样化的提示。最后，您将从专家那里获取关于根据目标选择最合适的提示策略的见解。 3. **课程测验、项目与总结**：本模块包含一项评分测验，以评估和巩固您对课程概念的理解。此外，还提供一份词汇表，以帮助您更好地理解与生成式AI相关的术语。模块还包括一个最终项目，您可以通过这个项目获得所学概念的实践经验。该模块还包含可选内容，包括编写图像生成有效提示的技巧。您还将有机会探索Prompt Lab，这是一个旨在最大化您在IBM watsonx中提示工程能力的工具。
Name:Prompt Engineering for Generative AI
Description:In this module, you will learn the key elements of a prompt and how to write them effectively using different formats such as questions, statements, and instructions. You will also explore the concept of prompt engineering and its importance in guiding generative AI models to produce relevant and accurate responses. The module also introduces best practices for prompt creation and provides an overview of commonly used prompt engineering tools. Through hands-on labs, you will practice designing clear, concise, and context-aware prompts, starting with naive approaches and progressing to more refined methods like persona pattern. Additionally, expert insights will help you understand real-world applications and the evolving role of prompt engineering in generative AI.
Name:Prompt Engineering: Techniques and Approaches
Description:In this module, you will explore a variety of prompt engineering techniques and approaches that enhance the effectiveness of generative AI models. You will learn how to apply methods such as the interview pattern, chain-of-thought, and tree-of-thought approaches to improve the specificity, coherence, and reasoning capabilities of AI responses. Through hands-on labs, you’ll apply these approaches to create specific, coherent, and diverse prompts for generative AI. Finally, you will gain insights from experts on how to choose the most suitable prompting strategy based on your objective.
Name:Course Quiz, Project, and Wrap-up
Description:This module includes a graded quiz to assess and reinforce your understanding of the concepts covered in the course. It also features a glossary to help you better understand generative AI-related terms. Additionally, the module includes a final project, which provides an opportunity to gain hands-on experience on the concepts covered in the course. The module also includes optional content. This content includes the techniques for writing effective prompts for image generation. You will also have the opportunity to explore Prompt Lab, a prompting tool designed to maximize your prompt engineering capabilities in IBM watsonx.
This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT. Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. Yo
