Variants of Shot Prompt

1. Zero-Shot Prompting:

   • Asking the model to answer your question directly, without providing it any examples.

// Example Prompt
Translate the following phrase into Spanish: 'Great weather we are having'

Use this method when you are certain of the model's general knowledge sufficiency.

1. One-Shot Prompting:

   • Giving the model one example of a desired output in order to help guide the model's response.

// Example Prompt
Translate the following phrase into Spanish. Here is an example: 
'What’s your name?' -> 'Cómo te llamas?'

Now translate: 'Great weather we are having'

This prompt variation is particularly useful when you need the model to follow a pre-determined structure, format or style. Use one-shot prompting for medium-level complexity tasks and when you want to subtly direct the model without burdening it with multiple examples.

1. Few-Shot Prompting:

   • Offering the model multiple examples, allowing it to learn from your data and ensure outputs are consistent and follow a given pattern.

// Example Prompt
Translate the following phrase into Spanish. Here are a few examples: 
'What’s your name?' -> 'Cómo te llamas?'
'Where can I get a taxi?' -> 'Dónde puedo encontrar un taxi?'

Now translate: 'Great weather we are having'

This prompt variation is used when a singular example is not sufficient enough to guide the model. Multi-shot prompting is often used for more complex tasks or ones that require the model to not deviate.

Key Takeaways

• Do not adopt a 'one shoe fits all approach':

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