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My learningPrompt EngineeringLesson 14
Tree of Thoughts: How AI Explores Multiple Paths Before Answering

Lesson 14

Tree of Thoughts: How AI Explores Multiple Paths Before Answering

Tree of Thoughts is an advanced prompting technique where AI explores multiple reasoning paths before choosing the best answer. Instead of following a single line of thinking, the model evaluates different possibilities step by step, improving problem-solving, planning, and decision-making accuracy.

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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