Prompt Engineering to Create Better Anki Flashcards
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In this video, Iโll 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 ๐ฏ. 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 allโฆ
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Chapters (18)
0:02
Introduction to Flashcards ๐ด
0:06
The Traditional Method of Creating Flashcards ๐
0:27
Introduction to Prompt Engineering and Experiments ๐
0:43
The Process of Automating Flashcards with GPT ๐ค
0:56
Problem with the Traditional Approach ๐ง
1:09
How to Bypass these Issues using Decomposition ๐ ๏ธ
1:26
Extracting Information using GPT-4 ๐ง
1:50
Why We Opted for ChatGPT in our Automation Process ๐ผ
2:04
Creation of Prompt Candidates for Testing ๐งช
2:21
Usage of Lan-chain to Create Prompt Templates ๐ก
2:31
Evaluating the Quality of Outputs without Manual Checking ๐
2:55
Visualization of Scores using a Bar Chart ๐
3:06
Creating Anki Flashcards with the Best Prompt ๐ฏ
3:17
Creating Questions and Answers with ChatGPT ๐
3:33
Displaying the Final Automated Process ๐ซ
3:38
Integrating Space Repetition Systems with Large Language Models ๐
3:51
Discussion on Metrics Evaluation and Potential Issues ๐
4:00
Conclusion and Future Directions ๐
DeepCamp AI