1. Zero shot Prompting
Zero shot Prompting
In zero-shot prompting, a language model is provided with a prompt it hasn’t seen during training, and it is expected to generate relevant and coherent responses without specific examples or additional training on that prompt.
Example: Asking a language model, “Translate the following English text to French: ‘The sun is shining, and the birds are singing,'” without explicitly training it on translation prompts.
15 different types of Zero shot Prompting for various real-life tasks:
- Translation Prompt:
- “Translate the following English text into Spanish: ‘The quick brown fox jumps over the lazy dog.'”
- Math Problem Solving Prompt:
- “Solve the following algebraic equation: ‘3x + 5 = 20.'”
- Recipe Generation Prompt:
- “Generate a recipe for chocolate chip cookies.”
- Poetry Writing Prompt:
- “Compose a short poem about love.”
- Historical Event Description Prompt:
- “Describe the events leading up to the American Revolution.”
- Geography Facts Prompt:
- “Provide information about the highest mountain in the world.”
- Medical Symptoms Explanation Prompt:
- “Explain the symptoms and treatment options for the common cold.”
- Animal Behavior Description Prompt:
- “Describe the behavior of a chimpanzee in its natural habitat.”
- Programming Code Explanation Prompt:
- “Explain the concept of object-oriented programming in Python.”
- Financial Advice Prompt:
- “Offer advice on saving money for retirement.”
- Movie Plot Summary Prompt:
- “Summarize the plot of the movie ‘The Shawshank Redemption.'”
- Fashion Trend Prediction Prompt:
- “Predict the upcoming fashion trends for the spring season.”
- Environmental Impact Assessment Prompt:
- “Assess the environmental impact of deforestation in the Amazon rainforest.”
- Space Exploration Explanation Prompt:
- “Explain the goals and challenges of human colonization of Mars.”
- Psychological Concept Explanation Prompt:
- “Define and explain the concept of cognitive dissonance.”