Improve Your Prompts for LLMs: Simple and Effective Techniques

Tools like ChatGPT and Bing have been skyrocketing in popularity. ChatGPT took five days since launch to reach 1 million users. Governments all over the world are trying to figure out what to do with this technology. Sweet AI-generated images are showing up everywhere; like this dog I generated using Bing:

AI-generated picture of a astronaut dog jumping over a fire on the moon

“Can you generate a picture of an astronaut dog jumping over a fire on the moon?”

Though LLMs (Large Language Models) are still in their infancy, research has shown some pretty big productivity boosts in a range of different professions. Using metrics from Github Copilot, an AI-based coding tool, Github has found that developers complete tasks in 55% less time when taking advantage of AI.

This is all to say that LLMs are a tool we’ll need to learn to use and use well.

There are many options when choosing a LLM, with the most popular being ChatGPT and Bing. OpenAI’s ChatGPT is the most well-known, but if we want to use the latest features like ChatGPT-4 (an upgrade to ChatGPT-3) we’ll need to pay $20 a month. Microsoft has released new Bing that takes advantage of ChatGPT-4 behind the scenes and is free to use. Finally, Google has Bard which is also free to use. All offerings come with their unique pros and cons.

Regardless of which tool you use, the question remains: how do we get the most out of these tools?

Prompt Engineering

We interact with LLMs by giving them a prompt, or text input, generally in the form of a question or instruction. LLMs then reason out the answer and respond. Prompt Engineering is a term coined to describe the process of writing prompts to get the best results from LLMs. Just like in everyday conversation, the words we choose to ask in a question can dramatically change the response we get. For example, if I ask “What is the best way to get to the airport?” I’ll get a different response than asking “How do I get to the airport?“.

Throughout this article we’ll build on a prompt to create a meal plan for a single day; taking advantage of different Prompt Engineering techniques. I’ll provide the prompt used, and the response I got back from the LLM—in my case I’ll be using ChatGPT-3. Try it for yourself, but remember that the results will vary by the LLM being used.

Prompt

Please create me a low sugar meal plan for one day.

🤖 (LLM) Response

Low-Sugar Meal Plan for One Day

Breakfast

  • Scrambled eggs with vegetables (spinach, bell peppers, mushrooms)
  • Whole grain toast
  • A small serving of fresh berries (such as strawberries or blueberries)
  • Herbal tea or black coffee (unsweetened)

Snack

  • Greek yogurt with a sprinkle of cinnamon
  • A handful of unsalted almonds

Lunch

  • Grilled chicken breast
  • Mixed greens salad with cherry tomatoes, cucumber, and avocado
  • Olive oil and lemon juice dressing (no added sugar)
  • Steamed broccoli

Snack

  • Sliced cucumber and carrot sticks with hummus

Dinner

  • Baked salmon fillet with lemon and dill
  • Quinoa pilaf with mixed vegetables (broccoli, carrots, peas)
  • Steamed asparagus

Dessert

  • Fresh fruit salad (such as watermelon, cantaloupe, and kiwi)

Note: Remember to drink plenty of water throughout the day. Adjust portion sizes according to your specific dietary needs and consult with a healthcare professional or a registered dietitian for personalized advice.

Constraints

Just like people, LLMs need constraints and clarity to understand what’s being asking. Be specific when writing prompts, and have a desired outcome in mind. The best mental model I’ve been told is to think of LLMs as an intern, brand new to the job. They are eager to get stuff done, but need clear and direct instructions. The best way to get the best results out of LLMs is to be specific.

Let’s improve upon our prompt by adding some constraints.

Prompt

Please create me a low sugar meal plan for one day. The plan should be a maximum 1,800 calories, and do not include breakfast. No gluten. High in protein.

🤖 (LLM) Response

Low-Sugar, Gluten-Free, High-Protein Meal Plan for One Day

Lunch

  • Grilled chicken breast (4 oz)
  • Quinoa salad with mixed vegetables (cucumber, cherry tomatoes, bell peppers) dressed with lemon vinaigrette
  • Steamed broccoli (1 cup)

Snack

  • Greek yogurt (6 oz) with sliced almonds (1 tbsp) and a sprinkle of cinnamon

Dinner

  • Baked salmon fillet (4 oz) with garlic and herbs
  • Sautéed kale (1 cup) with garlic and olive oil
  • Roasted sweet potatoes (1 medium) with a sprinkle of paprika

Snack

  • Celery sticks with almond butter (2 tbsp)

Dessert

  • Mixed berries (1 cup) with a dollop of unsweetened whipped cream

    Note: Please note that portion sizes and specific calorie counts may vary depending on the size and brand of the ingredients used. Adjust the portion sizes and consult a healthcare professional or a registered dietitian for any specific dietary needs or concerns.

Role prompting, or “Act like a…”

Role Prompting or “Act like a …” is a technique that can be used to provide more context and constraints to LLMs. First we tell the LLM to assume a role or persona. Then we provide a prompt. For example, if we had a question about woodworking we might say, "Act like a master woodworker. What is the best way to cut a dovetail joint?". Role prompting is another great way to provide constraints to LLMs.

Let’s improve upon our meal plan prompt by adding a role.

Prompt

Act as an expert nutritionist with 20 years of experience. Please create me a low sugar meal plan for one day. The plan should be a maximum 1,800 calories, and do not include breakfast. No gluten. High in protein.

🤖 (LLM) Response

Low Sugar Meal Plan

Maximum 1,800 Calories | No Gluten | High in Protein

Lunch

  • Grilled chicken breast (4 oz) seasoned with herbs and spices
  • Quinoa salad with mixed vegetables (such as bell peppers, cucumbers, and cherry tomatoes) dressed with lemon juice and olive oil
  • Steamed broccoli (1 cup) - Mixed greens salad with avocado slices and a light vinaigrette dressing
  • Sparkling water with a squeeze of fresh lemon

Snack

  • Greek yogurt (6 oz) topped with mixed berries (such as strawberries and blueberries)
  • Handful of unsalted almonds

Dinner

  • Baked salmon fillet (4 oz) marinated in a mix of lemon juice, garlic, and dill
  • Roasted Brussels sprouts with garlic and olive oil (1 cup)
  • Steamed asparagus (1 cup)
  • Quinoa (1/2 cup) cooked with vegetable broth
  • Herbal tea or water with a slice of lemon

Evening Snack

  • Celery sticks and carrot sticks with hummus
  • Green tea or water

This meal plan is designed to be low in added sugars and gluten-free while providing ample protein from lean sources like chicken, fish, and Greek yogurt. It incorporates a variety of colorful vegetables, healthy fats from avocado and olive oil, and whole grains like quinoa for additional fiber. Remember to drink plenty of water throughout the day to stay hydrated.

Please note that this is a generalized meal plan, and it’s always a good idea to consult with a registered dietitian or nutritionist who can create a personalized meal plan based on your specific dietary needs and health goals.

Few shot prompting

Few shot prompting is my favorite technique, and can really take the performance of LLMs to the next level. First we provide the LLM with a few examples (or shots) of what we want, and then we ask the LLM to generate a similar response (furthering adding constraints to our prompt). The term “shot” is synonymous with “example”. In Pompt Engineering you will also find zero shot prompting and one shot prompting.

  • Zero Shot Prompting: No examples are provided
  • One Shot Prompting: One example is provided
  • Few Shot Prompting: Two or more examples are provided

The shots, or examples, can be given in the same prompt, or broken out into separate prompts.

For example, in our meal plan example we could ask the LLM in a single prompt:

Prompt

Use the following examples of a meal plan:

example 1:

Breakfast (364 calories)

  • 1 serving Egg & Avocado Toast with Spinach & Salsa

A.M. Snack (59 calories)

  • 1 medium peach

Lunch (584 calories)

  • 1 serving Hot Turkey Pesto Sandwich

P.M. Snack (200 calories)

  • 1 cup edamame in pods

Dinner (306 calories)

  • 1 serving One-Pot Lentil & Vegetable Soup with Parmesan

Daily Totals: 1,512 calories, 65g fat, 93g protein, 140g carbohydrate, 34g fiber, 1,538mg sodium

To make it 1,200 calories: Omit the morning and afternoon snacks and reduce the pesto from 1 Tbsp. to 1 tsp. on the sandwich at lunch.

To make it 2,000 calories: Add 1/2 cup unsalted roasted cashews to A.M. snack and increase to 1 1/2 cups edamame at P.M. snack.


example 2:

Breakfast (302 calories)

  • 1 serving Copycat Spinach and Mushroom Egg Bites
  • 1 slice whole-wheat bread
  • 1 1/4 cups sliced strawberries

A.M. Snack (315 calories)

  • 1 medium banana
  • 2 Tbsp. creamy natural peanut butter

Lunch (306 calories)

  • 1 serving One-Pot Lentil & Vegetable Soup with Parmesan

P.M. Snack (247 calories)

  • 32 unsalted dry-roasted almonds

Dinner (349 calories)

  • 1 serving Chicken, Quinoa & Sweet Potato Casserole

Daily Totals: 1,518 calories, 67g fat, 75g protein, 158g carbohydrate, 31g fiber, 1,482mg sodium

To make it 1,200 calories: Omit peanut butter at A.M. snack and reduce almonds to 18 at P.M. snack.

To make it 2,000 calories: Increase to 2 slices bread and 1 1/2 cups strawberries at breakfast, increase peanut butter to 1/4 cup at A.M. snack, and increase almonds to 1/2 cup at P.M. snack.


Act as an expert nutritionist with 20 years of experience. Please create me a low sugar meal plan for one day. The plan should be a maximum 1,800 calories, and do not include breakfast. No gluten. High in protein.

Or ask the LLM to read a few examples first before we ask our question. To reduce the amount of time needed for the LLM to repond, we can ask it to confirm once it has read the example.

First Prompt

Read the following meal plan and respond with, “yes” once you read it.

Breakfast (364 calories)

  • 1 serving Egg & Avocado Toast with Spinach & Salsa

A.M. Snack (59 calories)

  • 1 medium peach

Lunch (584 calories)

  • 1 serving Hot Turkey Pesto Sandwich

P.M. Snack (200 calories)

  • 1 cup edamame in pods

Dinner (306 calories)

  • 1 serving One-Pot Lentil & Vegetable Soup with Parmesan

Daily Totals: 1,512 calories, 65g fat, 93g protein, 140g carbohydrate, 34g fiber, 1,538mg sodium

To make it 1,200 calories: Omit the morning and afternoon snacks and reduce the pesto from 1 Tbsp. to 1 tsp. on the sandwich at lunch.

To make it 2,000 calories: Add 1/2 cup unsalted roasted cashews to A.M. snack and increase to 1 1/2 cups edamame at P.M. snack.

Second Prompt

Read the following meal plan and respond with, “yes” once you read it.

Breakfast (302 calories)

  • 1 serving Copycat Spinach and Mushroom Egg Bites
  • 1 slice whole-wheat bread
  • 1 1/4 cups sliced strawberries

A.M. Snack (315 calories)

  • 1 medium banana
  • 2 Tbsp. creamy natural peanut butter

Lunch (306 calories)

  • 1 serving One-Pot Lentil & Vegetable Soup with Parmesan

P.M. Snack (247 calories)

  • 32 unsalted dry-roasted almonds

Dinner (349 calories)

  • 1 serving Chicken, Quinoa & Sweet Potato Casserole

Daily Totals: 1,518 calories, 67g fat, 75g protein, 158g carbohydrate, 31g fiber, 1,482mg sodium

To make it 1,200 calories: Omit peanut butter at A.M. snack and reduce almonds to 18 at P.M. snack.

To make it 2,000 calories: Increase to 2 slices bread and 1 1/2 cups strawberries at breakfast, increase peanut butter to 1/4 cup at A.M. snack, and increase almonds to 1/2 cup at P.M. snack.

Third Prompt

Using the meal plan examples from before act as an expert nutritionist with 20 years of experience. Please create me a low sugar meal plan for one day. The plan should be a maximum 1,800 calories, and do not include breakfast. No gluten. High in protein.

🤖 (LLM) Response

As an expert nutritionist with 20 years of experience, I’ve created a low-sugar meal plan for one day that is gluten-free, high in protein, and falls within the maximum 1,800 calorie range. Please note that individual nutritional needs may vary, so it’s always a good idea to consult with a healthcare professional or registered dietitian for personalized advice. Here’s the meal plan:

Lunch (approximately 400-500 calories):

Grilled Chicken Salad with Avocado Dressing:

  • 4-6 ounces of grilled chicken breast
  • Mixed salad greens (spinach, arugula, or your preferred greens)
  • Sliced cucumber, cherry tomatoes, and red onion
  • 1/4 avocado, sliced
  • 1-2 tablespoons of homemade avocado dressing (made with avocado, lemon juice, olive oil, salt, and pepper)

Afternoon Snack (approximately 150 calories):

Greek Yogurt Parfait:

  • 1/2 cup of plain Greek yogurt
  • 1/4 cup of mixed berries (such as blueberries and raspberries)
  • 1 tablespoon of chopped nuts (almonds, walnuts, or your preference)
  • Optional: sprinkle of cinnamon or drizzle of honey (if desired)

Dinner (approximately 500-600 calories):

Baked Salmon with Quinoa and Roasted Vegetables:

  • 4-6 ounces of baked or grilled salmon fillet
  • 1/2 cup of cooked quinoa
  • Roasted vegetables of your choice (such as broccoli, bell peppers, and zucchini) seasoned with herbs and olive oil

Evening Snack (approximately 150-200 calories):

Celery with Almond Butter and Chia Seeds:

  • 2-3 celery stalks
  • 1-2 tablespoons of almond butter (make sure it’s free of added sugars)
  • Sprinkle of chia seeds for added fiber and healthy fats

Remember to drink plenty of water throughout the day and adjust portion sizes based on your individual needs and preferences. It’s also essential to include regular physical activity and maintain a balanced overall diet for optimal health.

Conclusion

Compare the first meal plan to the final result. After taking advantage of the prompt engineering techniques we learned, we can see that the last meal plan is much more specific, detailed, and closer to the answer we would expect!

Using constraints, role prompting, and shot prompting, we can improve the quality of our prompts, impress our friends, and increase our productivity.