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Prompt Engineering for Teenagers!
Prompt Engineering for Teenagers!
Curriculum
6 Sections
46 Lessons
Lifetime
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Introduction to LLM and Prompt Engineering
3
1.0
Introduction to Language Models and Their Applications
1.1
Importance of Effective Prompts
1.2
Basics of Prompt Engineering
Principles of Effective Prompting
1
2.0
Principles of Effective Prompting
Prompting Techniques
18
3.0
Prompting Techniques
3.1
1. Zero shot Prompting
3.2
2. Few shot Prompting
3.3
3. Chain of Thought Prompting
3.4
4. Self Consistency
3.5
5. Generate Knowledge Prompting
3.6
6. Prompt Chaining
3.7
7. Tree of Thoughts
3.8
8. Retrieval Augmented Generation
3.9
9. Automatic Reasoning and Tool use
3.10
10. Automatic Prompt Engineer
3.11
11. Active Prompt
3.12
12. Directional Stimulus Prompting
3.13
13. Program Aided Language Models
3.14
14. ReAct
3.15
15. Reflexion
3.16
16. Multimodal CoT
3.17
17. Graph Prompting
Basic Applications of ChatGPT
19
4.1
Sentiment Classification
4.2
MySQL Queries
4.3
Inventing New Words
4.4
Reasoning Prompt
4.5
Excel Prompts
4.6
Developer Prompts
4.7
Finance Prompts
4.8
Marketing Prompts
4.9
Life Coach
4.10
English Translator and Improver
4.11
Travel Guide
4.12
Debate Coach
4.13
Career Counselor
4.15
Midjourney Prompt Generator
4.17
Dream Interpreter
4.18
Tic Tac Toe Game
4.19
Password Generator
4.20
Essay Writer
4.21
Startup Idea Generator
Various models and Tools
recent language models and tools to successfully apply the latest and most advanced prompting engineering techniques
2
5.0
LLMs
5.1
Tools
Ethics of AI and implications
3
6.0
Pros & Cons of LLM
6.1
Legal implication
6.2
Future of AI
Sentiment Classification
Sentiment Classification Prompt
Classify the text into neutral, negative, or positive
Text: I think the food was okay.
Sentiment:
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