IndyDevDan | "With this prompt, I learned Pytest in 12 minutes" - Learn ANYTHING with LLMs @indydevdan | Uploaded September 2023 | Updated October 2024, 3 hours ago.
"Give a man a fish, and you feed him for a day; teach a man to *code* and you feed him for a lifetime."
As an engineer, nothing is more important than your ability to learn. With modern AI tech, ChatGPT and GPT-4, we learn how to learn anything with the Fisherman's Prompt. Use this to learn pytest, rust, solidjs, htmx, and anything that your LLM has knowledge of. With GPT-4's boosted memory to January 2022 you have even more topics available to you. With the explosion of remote work and LLM tech, it's become clear that AI tutors and AI teachers are going to be a critical part of how we learn. Stay sharp, keep learning, and always utilize the best learning methods available to you.
🐟 The Fisherman's Prompt
---
I'm a [your level] [profession] and I want to learn [topic] so I can [objective]. Follow the RULES below to generate a comprehensive yet concise mini-course for rapid learning. The course should contain chapters that teach me about these SUB_TOPICS. Make sure the chapters fit my level, profession and topic. Ask for clarification if you need more information about my knowledge.
SUB_TOPICS
- [topic 1]
- [topic 2]
- [topic 3]
RULES
- Use concrete examples to explain every concept
- Use emojis to add expression
- Generate Generate one chapter at a time
- Ask for feedback at the end of each chapter
- Ask if I need clarification at the end of each chapter
- With each concept, explain real world use cases
- After we complete every sub topic, present a list of additional topics we can explore that align with my level, profession, topic and objective.
---
✅ 3 Instantly Useful Prompt Engineering Techniques
youtu.be/PwWvMvZa7zQ
🤖 Hungry For More AI Driven Development?
youtu.be/PPR675_JSM8
📖 Do you use Notion to boost your learning potential? Try transforming your pages into personal podcasts for rapid learning.
subvolver.com
🖥 Equipment
- Mac book pro 16" M2 support.apple.com/kb/SP890?locale=en_US
- Fujifilm X-H2s fujifilm-x.com/en-us/products/cameras/x-h2s/specifications
Chapters
00:00 Great Engineers Learn How to Learn
00:32 The Fisherman's Prompt - Learn Anything w/LLMs
02:00 Example Chapter 1 - Pytest Fundamentals
05:00 Example Chapter 2 - Pytest Faster Testing
06:20 Example Chapter 3 - Pytest Advanced Testing
07:30 Why AI tutors are great - JUDGEMENT FREE ZONE
08:32 Why Fisherman's Prompt is Great - Flexible Learning
10:00 Push it to the Limit
10:50 Learning Before and After LLMs
11:38 Software Engineering is about Change & Learning
12:10 Stay Sharp, Keep Learning
#️⃣ Hashtags
#promptengineering #metalearning #pytest
"Give a man a fish, and you feed him for a day; teach a man to *code* and you feed him for a lifetime."
As an engineer, nothing is more important than your ability to learn. With modern AI tech, ChatGPT and GPT-4, we learn how to learn anything with the Fisherman's Prompt. Use this to learn pytest, rust, solidjs, htmx, and anything that your LLM has knowledge of. With GPT-4's boosted memory to January 2022 you have even more topics available to you. With the explosion of remote work and LLM tech, it's become clear that AI tutors and AI teachers are going to be a critical part of how we learn. Stay sharp, keep learning, and always utilize the best learning methods available to you.
🐟 The Fisherman's Prompt
---
I'm a [your level] [profession] and I want to learn [topic] so I can [objective]. Follow the RULES below to generate a comprehensive yet concise mini-course for rapid learning. The course should contain chapters that teach me about these SUB_TOPICS. Make sure the chapters fit my level, profession and topic. Ask for clarification if you need more information about my knowledge.
SUB_TOPICS
- [topic 1]
- [topic 2]
- [topic 3]
RULES
- Use concrete examples to explain every concept
- Use emojis to add expression
- Generate Generate one chapter at a time
- Ask for feedback at the end of each chapter
- Ask if I need clarification at the end of each chapter
- With each concept, explain real world use cases
- After we complete every sub topic, present a list of additional topics we can explore that align with my level, profession, topic and objective.
---
✅ 3 Instantly Useful Prompt Engineering Techniques
youtu.be/PwWvMvZa7zQ
🤖 Hungry For More AI Driven Development?
youtu.be/PPR675_JSM8
📖 Do you use Notion to boost your learning potential? Try transforming your pages into personal podcasts for rapid learning.
subvolver.com
🖥 Equipment
- Mac book pro 16" M2 support.apple.com/kb/SP890?locale=en_US
- Fujifilm X-H2s fujifilm-x.com/en-us/products/cameras/x-h2s/specifications
Chapters
00:00 Great Engineers Learn How to Learn
00:32 The Fisherman's Prompt - Learn Anything w/LLMs
02:00 Example Chapter 1 - Pytest Fundamentals
05:00 Example Chapter 2 - Pytest Faster Testing
06:20 Example Chapter 3 - Pytest Advanced Testing
07:30 Why AI tutors are great - JUDGEMENT FREE ZONE
08:32 Why Fisherman's Prompt is Great - Flexible Learning
10:00 Push it to the Limit
10:50 Learning Before and After LLMs
11:38 Software Engineering is about Change & Learning
12:10 Stay Sharp, Keep Learning
#️⃣ Hashtags
#promptengineering #metalearning #pytest
