10 Prompt Examples to Learn Prompt Engineering:
Here are 10 prompts designed to help you explore different aspects of prompt engineering for Large Language Models (LLMs):
Zero-Shot Challenge: Write a news report from the perspective of a dog about the invention of a never-ending treat dispenser. (This prompt challenges the LLM to understand the scenario and adapt its writing style without specific training on "dog news reports").
Few-Shot Learning Experiment: You're writing a limerick. Here are two examples: "There once was a programmer named Drew, Whose code was a confusing hue..." & "A baker named Phil from Nantucket..." Based on these examples, write a limerick about a grumpy cat. (This prompt provides a few examples for the LLM to grasp the structure and rhyming scheme of a limerick).
Fine-Tuning for Specificity: Prompt 1: Write a creative story about a robot uprising. Prompt 2 (after fine-tuning on historical revolutions): Rewrite the story, focusing on the social and economic factors that led to the robot uprising. (This demonstrates how fine-tuning refines the LLM's output for a specific area).
Instruction Tuning for Clarity: Summarize the main points of a complex scientific paper you haven't read yet. (This pushes the LLM to rely on its general knowledge and potentially search for relevant information, while the ideal follow-up prompt would be): Summarize the main points of the same paper in a way that is easy to understand for a high school student. (The second prompt clarifies the desired outcome and target audience).
Humor and Style Transfer: Translate this sentence into Shakespearean English: "Hello, how are you today?" (This prompt injects humor by asking for a specific style transfer).
World-Building with Details: Describe a fantastical creature that lives in a forest filled with bioluminescent plants. (This prompt encourages the LLM to be creative and generate details about a fictional world).
Challenge Stereotypes: Write a poem about a strong and independent female warrior. (This prompt challenges the LLM to move beyond potential stereotypes associated with warriors).
Open-Ended Exploration: Write a story that starts with the line: "The last human on Earth woke up to a strange silence." (This prompt provides a starting point but allows the LLM to develop the story in its own direction).
Fact-Checking and Consistency: Write a short biography of Albert Einstein, focusing on his scientific discoveries. (This prompt requires the LLM to access factual information and ensure its output aligns with reality).
Interactive Storytelling: You are a detective investigating a mysterious crime. Based on the clues you provide, the LLM will tell you what happens next. (This prompt encourages an interactive experience where the user guides the story through prompts).
By experimenting with these prompts and observing the LLM's outputs, you'll gain a better understanding of how to craft effective prompts for different purposes. Remember, the clearer and more specific your prompts are, the better the LLM will understand your desired outcome.
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