🟢 Assigning Roles
- Understand role prompts
- Use role prompts to style text and improve accuracy
Role promptinga is a technique that can be used to control the style of AI generated text123. It can also improve the AI's accuracy when solving math problems. Implementing role prompting is as simple as instructing the AI to "embody a food critic" or to "act like a detective". Role prompting is a widely used technique, and is used in many of the examples on this site.
Styling Text
Role prompting is most often used to style text. This involves asking the AI to pretend to be a certain person, or act in a certain way, thus modifying how it writes based on the assigned role. This can be used to change the tone, style, and even the depth of the information presented. Let's delve into this concept with a food review example.
Food Review Example
When writing a review, it's important to tailor your approach based on the platform you're using and the audience you're writing for. Simply copying and pasting the same review across various sites like Google Reviews, TripAdvisor, and Yelp is not an effective strategy, especially if you're writing for a food critic in a magazine or blog post. To ensure your review resonates with your intended audience, consider factors like length, style, language, and tone, and use these to craft a review that speaks directly to your readers' interests and expectations. With a thoughtful approach and a focus on quality content, you can create a review that truly captures the essence of the pizza place you're writing about. Let's start with a simple prompt without a role.
Prompt
Write a review of [pizza place].
AI Output
"I recently had the pleasure of trying [random pizza place] and I must say that I was thoroughly impressed. The pizza was cooked to perfection and the toppings were fresh and flavorful. The crust was light and crispy, and the sauce was just the right amount of tangy. The service was also top-notch; the staff was friendly and attentive. Overall, I had a great experience and would definitely recommend [random pizza place] to anyone looking for a delicious pizza."
This result is pretty good, but let's see what happens when the AI assumes the role of a food critic.
Prompt
You are a food critic. Write a review of [random pizza place].
AI Output
"I recently had the pleasure of dining at [Pizza Place], a cozy pizzeria located in the heart of the city. Despite its small size, the restaurant packs a huge punch when it comes to flavor.
The pizza was cooked to perfection. The crust was delightfully thin and crispy and the toppings were fresh and flavorful. The combination of flavors was simply delicious. The marinara sauce was rich and flavorful and complemented the toppings perfectly. The cheese was gooey and melted in my mouth.
The service was also excellent. The staff was friendly and attentive. They were quick to answer questions and made sure that our food was served in a timely manner.
Overall, my experience at [Pizza Place] was fantastic and I highly recommend it to anyone looking for a delicious pizza."
We can see that it adds more detail and goes a bit more in depth. Now let's go a step further and make it assume the role of a writer for the Michelin guide:
Prompt
You are a food critic writing for the Michelin Guide. Write a review of [random pizza place].
AI Output
"Located in the heart of [random city], [random pizza place] is a popular spot for pizza lovers. Upon entering, the warm, inviting atmosphere and the smell of freshly-baked pizza will make you feel right at home. The menu offers a wide selection of classic pizzas, as well as some unique and creative options. The crust is perfectly crispy and the toppings are always fresh and flavorful. The service is friendly and attentive, and the prices are reasonable. Whether you’re looking for a quick bite or a leisurely dinner, [random pizza place] is sure to satisfy your pizza cravings."
Now we can see how assign GPT-3 the role of a food critic makes the review seem more "rich" and "professional" in it's description.
You can try it for yourself here:
Email Writing Example
Let's consider another example of styling text with role prompting. When using a language model like ChatGPT to draft an email, considering the "role" of the AI is critical to shaping the content it generates. The direction you want your resultant email to take will decide which role you should task the AI with.
Let's say you task the AI with writing an email to a client to inform them about a delay in the delivery schedule due to logistical issues. Your goal is to effectively convey this update while ensuring the client's confidence in your services remains unwavering. There are several roles you could assign to the model to receive varied output.
For instance, one possible role is that of a communications specialist, whose style might be clear, professional, and to the point:
Prompt
You are a communications specialist. Draft an email to your client advising them about a delay in the delivery schedule due to logistical problems.
AI Output
Subject: Important Update Regarding Your Order
Dear [Client's Name],
I hope this email finds you well. I'm reaching out to notify you of a delay in the delivery of your order. Unfortunately, we have encountered a logistical problem which is causing a short hold up. While we are making every effort to resolve this issue quickly, we anticipate your order to be delivered within [new estimated delivery date].
We deeply apologize for any inconvenience caused, and we'd like to reassure you we are doing our best to speed up the process. Your patience is greatly appreciated. If you have any questions or concerns, please don't hesitate to contact us.
Thank you very much for your understanding.
Best Regards, [Your Name]
Alternatively, have the model adopt the role of a marketing expert to lean more on persuasion, positivity, and relationship building:
Prompt
You are a marketing expert. Draft an email to a client advising them about a delay in the delivery schedule due to logistical problems.
AI Output
Subject: A Little More Wait for Your Wonderful Products
Dear [Client's Name],
We hope this message finds you buzzing with excitement for your upcoming order! However, even the best-laid plans sometimes face unexpected hiccups. We have hit a temporary logistics snag that will unfortunately add a small wait time to your delivery.
While we understand this isn't ideal, we believe great things come to those who wait, and your order is no exception. Rest assured, from the moment we sort out this situation to the time your products reach you, we're committed to ensuring that your experience is nothing short of excellent.
Thank you for your patience and understanding. Stay tuned for more updates, and please, don't hesitate to reach out if you have any questions - we're always here.
Cheers, [Your Name]
Lastly, the role of a customer service representative might lead to a more relational and solution-oriented output:
Prompt
You are a customer service representative. Draft an email to a client advising them about a delay in the delivery schedule due to logistical problems.
AI Output
Subject: Attention Required: Update on Your Order Status
Dear [Client's Name],
Greetings from [Your Company Name].
We wanted to inform you that, due to unforeseen logistical challenges, there might be a delay in the delivery of your order. We understand that this may cause some inconvenience, and we apologize sincerely.
Meanwhile, we are working tireless to resolve this and ensure your delivery reaches you by [new estimated date]. We value your time and patience greatly.
Please feel free to reach out if you have any questions or need further information. Our team is always here to assist you.
Thank you for your understanding.
Best regards, [Your Name]
Each of these role prompts will yield different results, aligning more closely with the perspective of the assigned role. Whether you need the directness of a communications specialist, the persuasive positivity of a marketing expert, or the empathetic problem-solving approach of a customer service representative, role-prompts allow you to tailor the language model to better fit your needs.
Improving Accuracy
As mentioned above, the accuracy of the output can be improved with role promptinga. Consider the following example:
Prompt
You are a brilliant mathematician who can solve any problem in the world. Attempt to solve the following problem:
What is 100*100/400*56?
AI Output
The answer is 1400.
This is a correct answer, but if the AI had simply been prompted with What is 100*100/400*56?, it would have answered 280 (incorrect).
Please note that we used GPT-3 for this question. ChatGPT will answer the question incorrectly, but in a different way.
Try it here:
Conclusion
Role prompting is a powerful strategy for shaping the output of Generative AI models. It allows us to control the style, tone, and depth of the generated text, making it more suitable for specific contexts or audiences. Whether you're drafting an email, writing a review, or solving a math problem, role prompting can significantly enhance the quality and accuracy of the results. As we continue to explore the capabilities of AI, role prompting will remain a key prompt engineering strategy.
- This appears to be less effective with newer models. Read Revisiting Roles for more information.↩
- Shanahan, M., McDonell, K., & Reynolds, L. (2023). Role-Play with Large Language Models. ↩
- Li, G., Hammoud, H. A. A. K., Itani, H., Khizbullin, D., & Ghanem, B. (2023). CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society. ↩
- Santu, S. K. K., & Feng, D. (2023). TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks. ↩