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My learningPrompt EngineeringLesson 07
Few-Shot Prompting: Why 3 Examples Beat 30 Every Time

Lesson 07

Few-Shot Prompting: Why 3 Examples Beat 30 Every Time

Few-shot prompting works best with a small number of high-quality examples that clearly demonstrate the desired output. Instead of overwhelming the AI with too many patterns, 2–3 focused examples improve clarity, reduce confusion, save tokens, and produce more accurate, consistent responses.

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Curriculum

30 lessons · 2h 6m

0/30 lessons done2h 6m left
  1. 02:03

    Prompt Engineering: The New Literacy Replacing Google Search Skills

    02:03

  2. 01:19

    How LLMs Actually Read Your Prompt: The 60-Second Shift That Changes Everything

    01:19

  3. 02:22

    Tokens Explained: Why Long Prompts Cost Accuracy and Money

    02:22

  4. 02:21

    Why Your AI Gives Bad Answers: 5 Prompt Mistakes Everyone Makes

    02:21

  5. 03:48

    The Anatomy of a Great Prompt: The 6-Part Template Pros Use

    03:48

  6. 02:29

    Zero-Shot vs Few-Shot: The First Choice Every Prompt Engineer Makes

    02:29

  7. 03:18

    Few-Shot Prompting: Why 3 Examples Beat 30 Every Time

    03:18

  8. 02:30

    Role Prompting: How “You Are a Senior X” Changed AI Forever

    02:30

  9. 04:17

    Structured Output Prompts: Get Clean JSON, Markdown, or CSV On Demand

    04:17

  10. 05:02

    Negative Prompting: Half the Win Is Telling AI What Not to Do

    05:02

  11. 06:29

    Role, Context, Task, Format: The 4-Part Framework for Better Prompts

    06:29

  12. 03:28

    Chain-of-Thought Prompting: The Trick That Made AI Better at Math

    03:28

  13. 03:22

    Self-Consistency: Why 5 AI Answers Beat 1

    03:22

  14. 04:12

    Tree of Thoughts: How AI Explores Multiple Paths Before Answering

    04:12

  15. 03:41

    ReAct Prompting: How AI Agents Think and Act Together

    03:41

  16. 05:23

    Prompt Chaining: Breaking Big Problems Into Smarter Steps

    05:23

  17. 05:09

    Prompt Engineering Is Dead: Context Engineering Is the Real Skill Now

    05:09

  18. 03:04

    Context Engineering Explained: The System That Makes AI Feel Personal

    03:04

  19. 05:00

    Claude vs GPT vs Gemini: Why the Same Prompt Gets Different Answers

    05:00

  20. 05:25

    Prompt Caching: The 10× AI Cost Hack Most Users Miss

    05:25

  21. 07:02

    DSPy & OPRO: When AI Starts Writing Better Prompts Than Humans

    07:02

  22. 03:22

    Prompt Engineering for Writers: Make AI Sound Like You, Not ChatGPT

    03:22

  23. 04:48

    Prompt Engineering for Coders: Patterns That Generate Working Code First Try

    04:48

  24. 05:23

    Prompt Engineering for Research: Turn AI Into a Reliable Research Assistant

    05:23

  25. 05:35

    Prompt Engineering for Images: Midjourney, DALL·E & Stable Diffusion Secrets

    05:35

  26. 06:03

    Prompt Engineering for Automation: Make AI Work While You Sleep

    06:03

  27. 04:15

    Prompt Injection: How One Sentence Can Hijack an AI System

    04:15

  28. 04:13

    Jailbreak Attacks Explained: How Hackers Bypass AI Safety

    04:13

  29. 05:05

    Prompts as Code: Git, Evals & Version Control for AI Workflows

    05:05

  30. 05:47

    Build a Prompt Engineering Portfolio: 5 Projects That Get You Hired

    05:47