ProHuman's Top 20 ChatGPT Prompts for Job Hunting
I found this list of tested ChatGPT prompts from ProHuman's newsletter extremely useful for job seekers. It simplifies the process of landing your dream job in 2024 with AI. Sharing it here:
TABLE OF CONTENTS
How To Self Study AI FAST
Learn how to quickly and effectively self-study AI using structured methods and practical resources.
Summary: Learn how to quickly and effectively self-study AI using structured methods and practical resources.
摘要：了解如何使用结构化的方法和实用资源快速有效地自学AI。
Use Case: Learning AI quickly and effectively using structured methods and available resources.
Tool: Python, Brilliant courses, and AI APIs like OpenAI.
Time for Learning: 1 month for beginners; 1-2 weeks for those with intermediate Python knowledge.
What You’ll Learn
In this video from Tina Huang, you'll discover an effective approach to self-studying AI. The key is to start with the basics and build exciting projects early to keep motivated. You'll learn the fundamental concepts of AI, such as how machine learning and large language models work, and how to use Python to interact with these models.
The Tina introduces the "Concentric Circle Method," where you start with high-level concepts and gradually delve deeper into the subject as you build confidence and understanding. This method helps maintain motivation by allowing you to create functional AI projects early in your learning journey.
The resources recommended include Brilliant, which offers interactive courses suitable for beginners, and the book "Automate the Boring Stuff with Python," which is excellent for understanding Python basics. Additionally, you'll learn how to use AI APIs to build applications like chatbots or personal assistants.
My Takeaway
This video focuses on acquiring the necessary skills and knowledge to build AI products, rather than just using AI tools. For those interested in a career path in AI, it’s about diving deep into AI concepts and development.
Be aware that this journey will require significant time and effort, as well as learning coding skills like Python. Some of the tips for learning AI shared in the video are very helpful. It's essential to leverage available tools such as Copilot and ChatGPT to get the most support and enhance your learning experience.
Exploring this path can be incredibly rewarding for those committed to understanding and developing AI technologies.
Key Steps
- Learn the Basics:
- Study the fundamentals of machine learning and large language models.
- Learn Python programming, focusing on variables, data types, if statements, loops, OOP, and APIs.
- Build Early Projects:
- Create simple AI applications like a study tool or personal assistant to apply your knowledge.
- Expand Knowledge:
- Use the excitement from completed projects to motivate deeper learning into machine learning and AI algorithms.
- Use Recommended Resources:
- Brilliant for interactive courses.
- "Automate the Boring Stuff with Python" for Python basics.
- FreeCodeCamp and other free online courses for further learning.
Next Step
- Start with Python basics using Brilliant or FreeCodeCamp.
- Build your first AI project using open AI APIs.
- Continue learning more about machine learning through recommended courses and books.
- Join AI communities to stay updated and get support.
Summary and TL;DR
To learn AI quickly, focus on the basics and build simple projects early on to stay motivated. Use resources like Brilliant and "Automate the Boring Stuff with Python" to get started with Python and AI. Gradually deepen your knowledge through structured learning and practical application.
Links or Resources
中文简介
使用案例： 使用结构化方法和可用资源快速有效地学习AI。
工具： Python, Brilliant课程，以及类似OpenAI的AI API。
学习时间： 初学者为1个月；有中级Python知识的人为1-2周。
你将学到什么
在Tina Huang的视频中，介绍了一种有效的自学AI的方法。关键是从基础开始，并在早期建立有趣的项目以保持动力。她推荐学习AI的基本概念，例如机器学习和大语言模型的工作原理，以及如何使用Python与这些模型进行交互。
Tina介绍了“同心圆方法”，即从高层概念开始，随着自信心和理解的增加逐步深入。这种方法通过在学习初期就能创建功能性AI项目来帮助保持动力。
她推荐的资源包括Brilliant，它提供适合初学者的互动课程，以及《Automate the Boring Stuff with Python》一书，这本书非常适合理解Python基础。此外，你还将学习如何使用AI API来构建像聊天机器人或个人助手这样的应用程序。
我的收获
这个视频关注的是获取构建AI产品所需的技能和知识，而不仅仅是使用AI工具。对于那些对AI职业道路感兴趣的人来说，这意味着深入了解AI概念和开发。
要注意的是，这个方向需要大量的时间和精力，以及需要学习Python等编程技能。视频中分享的一些学习AI的建议非常有用。利用Copilot和ChatGPT等可用工具以获得最大的支持并提升你的学习体验是至关重要的。
对于那些致力于理解和开发AI技术的人来说，探索这条道路可能非常有收获。对于我来说，应用AI而不是开发AI产品，在现阶段更有价值。
关键步骤
1. 学习基础知识：
• 学习机器学习和大语言模型的基本原理。
• 学习Python编程，重点是变量、数据类型、if语句、循环、面向对象编程（OOP）和API。
2. 建立早期项目：
• 创建简单的AI应用程序，如学习工具或个人助手，以应用你的知识。
3. 扩展知识：
• 利用完成项目的兴奋感来激励你更深入地学习机器学习和AI算法。
4. 使用推荐资源：
• Brilliant提供的互动课程。
• 《Automate the Boring Stuff with Python》用于Python基础学习。
• FreeCodeCamp和其他免费在线课程进一步学习。
下一步
• 使用Brilliant或FreeCodeCamp开始学习Python基础知识。
• 使用开放AI API构建你的第一个AI项目。
• 通过推荐的课程和书籍继续学习更多关于机器学习的知识。
• 加入AI社区以保持更新并获得支持。
总结和精简
为了快速学习AI，专注于基础知识并尽早建立简单项目以保持动力。使用Brilliant和《Automate the Boring Stuff with Python》等资源开始学习Python和AI。通过结构化学习和实际应用逐步加深你的知识。
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