MODULE 2 - FUNDAMENTAL TECHNIQUES

🎯 Zero-Shot Prompting

The simplest and most direct technique: ask the model to perform a task without providing examples—just clear instructions.

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What Is Zero-Shot?

"Zero-shot" - direct instruction only

Zero-Shot means asking the model to perform a task without providing examples of how to do it. You trust the knowledge the model already has from its training.

✅ When to Use

• Simple, well-defined tasks
• The output format is obvious
• You don’t have any examples available
• Quick first attempt

⚠️ Limitations

• May not capture a specific style
• Complex tasks can fail
• Format may vary between responses
• Less control over output

💡

Practical Examples

Sentiment Classification

// Zero-Shot Prompt:

"Classify the sentiment of this text as Positive, Negative, or Neutral:

'I love the product! It arrived ahead of schedule and works perfectly.'"

→ Answer: Positive

Translation

"Translate into English: 'Prompt engineering is essential for using AI effectively.'"

→ Answer: "Prompt engineering is fundamental to using AI effectively."

Summary

"Summarize in one sentence: [long text here]"

→ Model automatically summarizes without examples

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Tips for Effective Zero-Shot

💡 Be extremely clear in the task - without examples, the instruction is everything

💡 Specify the output format desired (list, paragraph, JSON)

💡 Use for common tasks that the model has probably seen during training

💡 If it doesn’t work, switch to Few-Shot adding examples

🚀 Next: Few-Shot Prompting

When Zero-Shot Isn’t Enough, Learn to Use Examples to Guide the Model!

Go to Few-Shot