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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-chatgpt-in-research-science-and-engineering/
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课程名称：掌握ChatGPT在研究、科学和工程中的应用 课程概述：本课程旨在帮助学员探索人工智能如何改变工作、思维和创造过程。通过实操训练，学员将学习使用前沿工具，如ChatGPT、Perplexity AI和Gemini AI，来简化研究过程、解决现实问题以及轻松制作专业质量的文档。无论您是学生、科学家还是专业工作者，您都将掌握提升生产力的实用技能，更加批判性地思考人工智能的输出，助力在当今科技驱动的世界中蓬勃发展。加入我们，解锁人工智能的潜力，实现更快更高的成就，带领人工智能革命的潮流！ 课程内容包括： 1. 人工智能聊天机器人或生成性AI聊天机器人的概念 - 1.1 ChatGPT - 1.2 超越ChatGPT：Perplexity AI和Gemini AI - 初步考虑事项 2. ChatGPT的深入分析 - 2.1 ChatGPT的基本概述 - 2.2 限制因素与问题 - 2.3 ChatGPT与传统资源的比较 - 2.4 OpenAI作为学习的主要来源 3. 注意伦理标准与偏见案例 4. 基本概念 - 人类示范者与监督学习 - 人工智能训练师 5. 实用技巧 - 使用ChatGPT学习 - 定制提问技巧 6. 实例展示 - 编程实例 - 解决GenAI的限制 - 社交媒体与推广的应用 - 工程领域中的应用案例（如管道工程、电气设计等） 即将推出的课程第二部分将包括更多科学和研究的实例，如驱动振荡器、机器学习案例和科学论文的总结等。 通过本课程，学员将能够在AI的帮助下更高效地开展研究和工程工作，以适应现代科技进步带来的挑战和机遇。
Discover how AI can transform the way you work, think, and create with Master ChatGPT in Research, Science and Engineering. This hands-on course empowers you to leverage cutting-edge tools like ChatGPT, Perplexity AI, and Gemini AI to streamline research, solve real-world problems, and produce professional-quality documents with ease. Whether you're a student, scientist, or professional, you'll gain practical skills to enhance productivity, think critically about AI outputs, and thrive in today's technology-driven world. Join us and unlock the power of AI to achieve more, faster-don't miss your chance to lead the way in the AI revolution!Contents (for this course 1 to 6, next coming course (part 2) includes section 7)1 What are AI chatbots or Generative AI (GenAI) Chatbots ?1.1 ChatGPT1.2 Beyond ChatGPT: Perplexity AI and Gemini AIInitial considerations2. ChatGPT2.1 ChatGPT2.2 ChatGPT what is ChatGPT?2.2.1 LIMITATION 1. Incorrect or nonsensical answers2.2.2 LIMITATION 2. Tweaks and input phrasing2.2.3 LIMITATION 3. Review and feedback2.2.4 LIMITATION 4. Methods2.3 Example: differences with typical resources2.4 The problem of the sourceOpenAI as the main source to learn about OpenAI3. Caution: Ethical standards and example of bias3.1 The absolutely right loophole: example4. Fundamental concepts4.1 Human demonstratorHuman demonstrator: Supervised LearningHuman demonstrator: Reinforcement4.2 AI trainer5. Useful tricksUsing ChatGPT to learn about ChatGPTAsking ChatGPT if it can do something6 EXAMPLES6.1 Example: generic ChatGPT use for codingWhat happens now within this "Chat"6.2 Example: coding routines6.3 Example: bypassing what the GenAI can't do6.4 Exercises or exams6.5 Example: using GenAIs in parallel6.6 Example social media and promotion6.7 Example: engineering - plumbing6.8 Example: assessing the feasibility of a project6.9 Example: electrical engineering/cable design6.10 Example: local engineering regulationsExamples in section 7 ( not included in the present course but included in the coming second part).7. Examples in science and research7. 1 Example: The driven oscillator7.1.2 Codes in python, Matlab, Octave and C7.2 Example: the relevance of knowing concepts7.3 Example: a machine learning case7.4 Example: magnetism in the nanoscale7.5 Example: summarizing a scientific paper7.6 Redoing and improving a text7.7 Example of ChatGPT in lawAppendix: learning directly from the sourceAppendix: Reinforcement Learning from Human Feedback
