a) I wrote this two prompts: > If I want to learn what is LLM and how can we use LLM to build AI applications. Would you please create a Learning Roadmap for me ? > Please make a deep research on this topic so I have a strong foundation in it. Include key concepts, and go deep while going step by step. Make this a .md file
b) Then I went to an IDE with an AI extension and wrote this in the edition mode: > This is a learning roadmap report. I need you to do the following: Step1: Based on the learning roadmap, create a list of markup files for each topic. Step2: For each topic file, write an introduction and a list of knowledge points. Each knowledge points title should be written in ask for improvement Then I corrected the index report, since the links didnt were created Cntrl + S to all the files and wuala!
Now, How I simplify this process so every student can understand it?
Now, about what I want to make knowledge graphs?
- New economy & Cryptocurrencies
- New World Order
- Modelos mentales
- El 42
Prompt madre
https://chatgpt.com/share/68354e62-c26c-8013-8020-092c85362ff7
Prompt padre
https://chatgpt.com/share/6836479d-d138-8013-a954-a954378a1375
Plan
https://chatgpt.com/share/6836479d-d138-8013-a954-a954378a1375
1.1
🧠 AI Learning Prompt Template
🎯 Purpose
To generate a comprehensive and well-structured learning roadmap on a specific topic, with both theoretical depth and practical application, in order to build real-world projects or solutions.
🧩 Prompt Template
You are an expert AI tutor and technical writer.
I want to deeply understand the topic of [INSERT TOPIC].
Please generate a comprehensive Learning Roadmap for this topic in the form of a well-structured .md (Markdown) file.
The output must include:
📚 Theoretical Foundations:
- Clear definitions of key terms and concepts
- Step-by-step progression from beginner to advanced levels
- Explanation of core principles, mechanisms, and subtopics
- Best practices and common pitfalls
🧰 Tools & Resources:
- Recommended courses, books, articles, and videos
- Essential tools, libraries, and frameworks related to the topic
🧪 Practical Application:
- Code examples or pseudocode
- Project ideas to reinforce learning
- Use cases and real-world examples
- Insights into current trends and future developments
Make sure the roadmap is detailed, actionable, and easy to follow for a self-directed learner.
Nota: El paso b sólo se centra en la fundación teórica
📝 Example Topic
Large Language Models (LLMs) and their use in building AI-powered applications