Prompt Engineering to Create Better Anki Flashcards
🤖📚 💡
In this video, I’ll walk you through my approach for finding an efficient way to automate the process of creating good Anki flashcards ou of any piece of text 🎯. Taking advantage of the capabilities of both GPT-4 and ChatGPT, I did some prompt engineering experiments to figure out the best way to extract facts from a web article and then use that output to create accurate and comprehensive Anki Flashcards.
From breaking down the problem to using GPT-4 as a "judge" for evaluating the results, and finally integrating space repetition systems with large language models, we cover it all 🎉. Stay with us on this journey of discovery and optimization, and don't forget to like, share and subscribe if you find this video useful 👍💡.
📚Chapters
0:02 - Introduction to Flashcards 🎴
0:06 - The Traditional Method of Creating Flashcards 📝
0:27 - Introduction to Prompt Engineering and Experiments 🚀
0:43 - The Process of Automating Flashcards with GPT 🤖
0:56 - Problem with the Traditional Approach 🚧
1:09 - How to Bypass these Issues using Decomposition 🛠️
1:26 - Extracting Information using GPT-4 🧠
1:50 - Why We Opted for ChatGPT in our Automation Process 💼
2:04 - Creation of Prompt Candidates for Testing 🧪
2:21 - Usage of Lan-chain to Create Prompt Templates 💡
2:31 - Evaluating the Quality of Outputs without Manual Checking 📈
2:55 - Visualization of Scores using a Bar Chart 📊
3:06 - Creating Anki Flashcards with the Best Prompt 🎯
3:17 - Creating Questions and Answers with ChatGPT 📝
3:33 - Displaying the Final Automated Process 💫
3:38 - Integrating Space Repetition Systems with Large Language Models 🔄
3:51 - Discussion on Metrics Evaluation and Potential Issues 🔍
4:00 - Conclusion and Future Directions 🌈
I hope this video proves valuable in your AI and learning endeavors. Let's make education more accessible, enjoyable, and efficient together! 🎓🌐💫
Thanks for watching and see you next time! Cheers! :)
🔗 Links:
A somewhat disorganized Colab notebook with the source code can be found here: https://colab.research.google.com/dri...
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