Prompt Engineering Guide
😃 Basics
💼 Applications
🧙‍♂️ Intermediate
🧠 Advanced
Special Topics
🌱 New Techniques
🤖 Agents
⚖️ Reliability
🖼️ Image Prompting
🔓 Prompt Hacking
🔨 Tooling
💪 Prompt Tuning
🗂️ RAG
🎲 Miscellaneous
Models
📝 Language Models
Resources
📙 Vocabulary Resource
📚 Bibliography
📦 Prompted Products
🛸 Additional Resources
🔥 Hot Topics
✨ Credits
💼 Applications🟢 Study Buddy

Study Buddy

🟢 This article is rated easy
Reading Time: 2 minutes

Last updated on August 7, 2024

Takeaways
  • LLMs as study tools: AI like ChatGPT enhances studying by explaining complex terms and generating tailored quizzes.

One of our favorite ways to use LLMs is as a study tool! In particular, it is useful for explaining confusing terms as well as quizzing you on test content.

Explaining Terms

I was recently reading a textbook about Cacti, and saw this passage:

Because of adaptations to xeric conditions and the presence of less derived woods in Pereskioideae, the Cactaceae is one of the most interesting families both anatomically and morphologically.

I had no idea what less derived woods meant, and Google only showed research articles on it. I decided to use ChatGPT to find out what it meant. I gave it the following prompt, which is simply the passage from the book and my question.

Astronaut

Prompt


Because of adaptations to xeric conditions and the presence of less derived woods in Pereskioideae, the Cactaceae is one of the most interesting families both anatomically and morphologically.

What do less derived woods mean?

Robot

AI Output


In this context, "less derived woods" refers to the ancestral or primitive form of wood found in the early evolution of plants. These woods lack specialized structures and features that evolved later in more derived or advanced plants. In the Pereskioideae subfamily of the Cactaceae family, the wood is less derived compared to other subfamilies and is more similar to the wood found in non-cactus plants. The less derived wood in Pereskioideae is thought to be an adaptation to the more humid and less xeric environments in which these plants grow compared to other cacti.

The model was able to answer my question quickly and I was able to continue with my reading.

Quizzing Yourself

Another way to use LLMs as a study tool is to quiz yourself. If you have an upcoming calculus test, you could simply ask:

Astronaut

Prompt


Generate 5 calculus I quiz questions for me:

Robot

AI Output


1. What is the derivative of y = x3? 2. Evaluate the indefinite integral of x3 + 5x2 + 7x + 4 3. What is the product rule for derivatives? 4. Find the equation of the line tangent to y = x2 at the point (4, 16) 5. What is the second derivative of y = x4?

If you are studying a more specific topic, you may need to give the model additional information, for example, your class notes!

Astronaut

Prompt


3/20/2020 2:30 PM

Marketing Class Notes

- Discussed 4 P's of marketing: Product, Price, Place, Promotion - Difference between B2C and B2B: B2C is direct consumer market, B2B is business to business - Different types of market research: Quantitative and Qualitative, such as surveys and focus groups - Pricing Strategies: Skimming, Penetration, Competition, and Value - Segmentation: segmenting the customer base by age, income, etc. - 4 types of segmentation: Demographic, Geographic, Psychographic, and Behavioral - Discussed different promotional tools: Advertising, Personal Selling, Public Relations, Direct Marketing, and Sales Promotions

Generate 5 marketing quiz questions for me based on my notes:

Robot

AI Output


1. What are the 4 P's of marketing? 2. What is the difference between B2C and B2B? 3. What are two types of market research? 4. What are 4 types of segmentation? 5. Name 5 promotional tools.

Conclusion

There are probably other ways to use LLMs to study. Many learning companies like Duolingo and Quizlet are implementing LLMs into their products.

Sander Schulhoff

Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, reaching 3M+ people and teaching them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions. This 76-page survey analyzed 1,500+ academic papers and covered 200+ prompting techniques.

Footnotes

  1. Nobel, P. S., & others. (2002). Cacti: biology and uses. Univ of California Press.

Edit this page
Word count: 0

Get AI Certified by Learn Prompting


Copyright © 2024 Learn Prompting.