GEN AI - III

content:

9. Prompt Engineering for Multimodal AI (Text, Image, Audio, Video)
10. Hands-On Practice — 30 Multimodal Prompts for Day 9 Exercises
11. Multimodal Prompt Templates for Daily Use (Cheat Sheet)
12. Building Your Own Prompt Library (Folder Structure + Naming System + Templates)

SECTION 9: Prompt Engineering for Multimodal AI (Text, Image, Audio, Video)

How to write powerful prompts that give accurate, creative, and meaningful outputs in modern multimodal systems.

Prompt engineering is one of the most essential skills when working with advanced AI models.
Even though the models are more intelligent today, the quality of the output still depends heavily on how you ask.

This section covers:

What prompt engineering is
Types of prompts
Frameworks to structure prompts
Multimodal-specific prompt techniques
Examples for text, image, audio, and video
Common mistakes
Advanced prompting strategies

🎯 9.1 What Is Prompt Engineering?

Prompt Engineering is the process of designing clear, structured, and effective instructions to guide the AI to produce the exact output you want.

A prompt is not just a question.
It is:

Instructions
Context
Role assignment
Constraints
Expected output format
Examples
Tone/style guidance

A good prompt reduces:

Irrelevant answers
Hallucinations
Missing details

And increases:

Accuracy
Creativity
Efficiency

🧱 9.2 Types of Prompts

✔️ 1. Instruction Prompts

Tell the model exactly what to do.

Example:
“Summarize this text in 3 bullet points.”

✔️ 2. Role-Based Prompts

Assign a specific role to the AI.

Example:
“You are a professional Python instructor. Explain generators with examples.”

✔️ 3. Chain-of-Thought Prompts

Tell the model to show step-by-step reasoning.

Example:
“Solve this math problem step-by-step and explain each step.”

✔️ 4. Few-Shot Prompts (With Examples)

Provide examples so the model learns the pattern.

Example:
Input → 10
Output → 100
Input → 20
Output → 400
Input → 30
Output → ?

✔️ 5. Multimodal Prompts

Combine text + image/audio/video input.

Example:
“Look at the uploaded image. Describe the chart, extract the data, and generate insights.”

🧩 9.3 Prompt Structure Frameworks

To write excellent prompts, follow these frameworks:

9.3.1 CRISP Framework

C – Context
R – Role
I – Instructions
S – Style
P – Parameters (format, length, constraints)

Example:

“You are a data scientist. Using the uploaded chart, explain market trends in a professional tone. Limit your answer to 150 words.”

9.3.2 RACE Framework

R – Role
A – Action
C – Context
E – Example

Example:

“You are a UI designer. Analyze the given webpage screenshot and write improvements. Example: spacing, alignment, typography.”

9.3.3 GEAR Framework for Multimodal Prompts

G – Goal
E – Elements (image/audio/video)
A – Actions required
R – Results expected

Example:

“Goal: Extract information.
Element: Uploaded handwritten image.
Action: Convert handwriting to text.
Result: Provide a clean paragraph output.”

🖼️ 9.4 Prompt Engineering for Images (DALL·E, SD, Midjourney)

When generating images, follow the D.E.L.I.M. Formula:

D – Description

Everything you want to see (object, characters, scene).

E – Environment

Where the scene takes place (forest, city, space).

L – Lighting

Soft light, cinematic lighting, neon lights, sunset.

I – Intensity + Style

Cartoon, photorealistic, 3D render, cyberpunk.

M – Mood

Happy, dramatic, peaceful, mysterious.

🔥 Example Prompt for Image Generation

“A photorealistic image of a futuristic electric bike parked in a neon-lit Tokyo street at night. Cinematic lighting, rain droplets on the pavement, dramatic reflections, 4K quality.”

🔍 Prompting for Image Analysis

“Analyze this image. Identify objects, count items, describe scene, detect errors, and generate insights in bullet points.”

🎧 9.5 Prompt Engineering for Audio

✔️ Audio → Text (Transcription Prompt)

“Transcribe the audio exactly. Keep the formatting and identify each speaker.”

✔️ Audio → Summary

“Summarize the audio into 5 bullet points focusing on key decisions and action items.”

✔️ Text → Audio Generation

“Generate a calm, professional, male voice reading this paragraph at medium speed.”

🎥 9.6 Prompt Engineering for Video

✔️ Video Analysis

“Analyze this video. Describe actions, count people, identify sequence of events, and list any safety violations.”

✔️ Video Generation

“In 5 seconds, create an animation of a dragon flying over mountains during sunset with smooth motion.”

🧠 9.7 Prompt Engineering for Code (Very Important)

Models respect formality and structure. Use this format:

Problem description
Input format
Output format
Constraints
Examples
Step-by-step breakdown
Final code

Example Prompt:

“You are a senior MERN stack developer. Generate a Node.js Express API for user login with JWT authentication. Include routes, validation, hashing, and error handling.”

❌ 9.8 Common Prompting Mistakes

❌ Too short

“Explain this.”

❌ Missing context

“Write code” (but which language? purpose? framework?)

❌ Vague instructions

“Make an image better.”

❌ Asking multiple conflicting things

“Make it long but short.”

❌ No output format

“Give me the result.” → Without bullet points, tables, JSON, etc.

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🧬 9.9 Advanced Prompt Engineering Techniques

✔️ 1. Recursive Prompting

AI → Output
User → Modify prompt
AI → Improved output

This creates refinement loops.

✔️ 2. Self-Correction Prompts

“Check your previous answer for mistakes and improve it.”

✔️ 3. Critic + Creator Method

Ask AI to act as:

Creator (write content)
Critic (review mistakes)
Improver (final output)

✔️ 4. Output Programming (Format Enforcement)

“Return the output only in JSON with these keys: {title, summary, keywords}”

✔️ 5. Multimodal Re-Contextualization

Example:

Upload image →
Ask AI: “Rewrite this as a poem.”
→ Convert visual → text → creative writing.

🎉 9.10 Summary

Multimodal Prompt Engineering is the key to:

Better accuracy
Better reasoning
Better creativity
Better outputs in images, audio, and video
Correct code generation
Reduced hallucination

Prompt engineering transforms your interaction from:
❌ “Ask-and-hope”
to
✔️ “Ask-and-control.”

SECTION 10: Hands-On Practice — 30 Multimodal Prompts for Day 9 Exercises

Multimodal AI models (such as GPT-4o, Gemini, Claude, etc.) understand text, images, audio, and video, which means you can practice a wide variety of prompt engineering techniques.

Below are 30 carefully designed hands-on exercises to master real-world multimodal prompting.
These are categorized for easier practice:

Text-Based Prompts
Image-Based Prompts
Audio Prompts
Video Prompts
Code-Focused Prompts
Real-World Use-Case Prompts
Creativity + Reasoning Prompts

Each comes with:

Goal
Example Prompt
Expected Ability You Will Learn

Let’s begin.

🌐 10.1 TEXT-ONLY PROMPTING EXERCISES (Beginner → Advanced)

1️⃣ Role-Based Explanation Prompt

Goal: Teach the model to take a role.
Prompt:
“You are a professional data scientist. Explain the difference between supervised and unsupervised learning in simple language.”

Skill: Role assignment for clarity.

2️⃣ Structured Output Prompt

Goal: Enforce formatting.
Prompt:
“Explain gradient descent in exactly 5 bullet points.”

Skill: Format-controlled outputs.

3️⃣ Chain-of-Thought Prompt

Goal: Step-by-step reasoning.
Prompt:
“Explain step-by-step how backpropagation updates weights in a neural network.”

Skill: Improving logical accuracy.

4️⃣ Few-Shot Learning Prompt

Goal: Teach model through examples.
Prompt:
Example:
Input: 3 → Output: 9
Input: 4 → Output: 16
Input: 7 → Output: ?

Skill: Pattern learning.

5️⃣ Rewrite + Transform Prompt

Goal: Transform content.
Prompt:
“Rewrite this paragraph in a professional tone and shorten it by 40%.”

🖼️ 10.2 IMAGE-BASED PROMPTING EXERCISES

These require you to upload any image (chart, photo, infographic, handwritten note, UI screenshot, etc.).

6️⃣ Image Description Prompt

Goal: Extract information.
Prompt:
“Describe everything happening in this image with object names, colors, and relationships.”

Skill: Vision understanding.

7️⃣ Data Extraction from Chart

Goal: Convert charts → data.
Prompt:
“Extract all numerical values from this chart and organize them in a table.”

Skill: Turning visual → structured text.

8️⃣ UI/UX Feedback Prompt

Goal: Analyze UI design.
Prompt:
“Analyze this app interface and list 10 UI/UX improvements with reasons.”

Skill: Design evaluation.

9️⃣ Detect Errors in an Image

Goal: Logical reasoning + visual analysis.
Prompt:
“Find all inconsistencies or mistakes in this image.”

🔟 Convert Handwritten Notes to Text

Goal: OCR transformation.
Prompt:
“Convert the handwritten text in this image into clean, formatted paragraphs.”

🎧 10.3 AUDIO-BASED PROMPTING EXERCISES

Upload audio: class lectures, recorded speech, meeting audio, etc.

1️⃣1️⃣ Transcription Prompt

Goal: Get accurate transcription.
Prompt:
“Transcribe this audio exactly with correct punctuation and line breaks.”

1️⃣2️⃣ Meeting Summary Prompt

Goal: Extract insights.
Prompt:
“Summarize this meeting into key decisions, tasks, and deadlines.”

1️⃣3️⃣ Speaker Identification Prompt

Goal: Detect voices.
Prompt:
“Identify different speakers in the audio and label them Speaker 1, Speaker 2, etc.”

1️⃣4️⃣ Emotion Detection Prompt

Goal: Understand tone.
Prompt:
“Analyze the emotion and tone of the speaker in this audio clip.”

1️⃣5️⃣ Turn Audio → Blog Section

Goal: Transform speech to structured writing.
Prompt:
“Convert this audio explanation into a 300-word polished blog section.”

🎥 10.4 VIDEO-BASED PROMPTING EXERCISES

Upload a small video.

1️⃣6️⃣ Step-by-Step Video Analysis

Goal: Understand actions.
Prompt:
“Explain everything happening in this video step-by-step with timestamps.”

1️⃣7️⃣ Safety Review Prompt

Goal: Detect potential hazards.
Prompt:
“Identify all safety issues visible in this video.”

1️⃣8️⃣ Object Tracking Prompt

Goal: Motion understanding.
Prompt:
“Track the movement of every person/object in this video and describe their actions.”

1️⃣9️⃣ Instruction Extraction

Goal: Convert demonstration → instructions.
Prompt:
“Convert this video tutorial into step-by-step written instructions.”

2️⃣0️⃣ Summarize a Video

Goal: Short summary.
Prompt:
“Summarize this video in under 150 words, focusing only on the main events.”

💻 10.5 CODE-FOCUSED MULTIMODAL PROMPTING

2️⃣1️⃣ Code Explanation

Prompt:
“Explain what this code does line-by-line and suggest improvements.”

Upload a screenshot or paste code.

2️⃣2️⃣ Bug Fixing Prompt

Prompt:
“Find the bugs in this code and rewrite the corrected version.”

2️⃣3️⃣ Convert Sketch/Diagram → Code

Upload an architecture diagram or hand-drawn sketch.

Prompt:
“Convert this architecture diagram into a working Python/TensorFlow code template.”

2️⃣4️⃣ Generate Code from UI Screenshot

Prompt:
“Generate HTML/CSS code that replicates this UI layout exactly.”

2️⃣5️⃣ Explain Model Architecture from an Image

Upload a neural network block diagram.

Prompt:
“Explain this architecture, its layers, and training flow in detail.”

🌍 10.6 REAL-WORLD MULTIMODAL USE CASE PROMPTS

2️⃣6️⃣ Resume → Job Match Prompt

Upload a resume.

Prompt:
“Analyze this resume. Score it against a Data Scientist job description and list missing skills.”

2️⃣7️⃣ Analytics from Photo of Whiteboard

Upload a photo of classroom/meeting whiteboard.

Prompt:
“Convert these notes into structured meeting minutes with tasks and owners.”

2️⃣8️⃣ Product Listing Prompt

Upload an image of a product.

Prompt:
“Generate an Amazon-style product description, bullet points, title, and keywords for this product.”

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2️⃣9️⃣ Marketing Content Prompt

Upload a brand poster or ad.

Prompt:
“Rewrite the content of this poster into a social media caption in conversational tone.”

🎨 3️⃣0️⃣ CREATIVE MULTIMODAL PROMPT

2️⃣0️⃣ Creative Transform Prompt

Upload any image (landscape, portrait, animal, object, etc.)

Prompt:
“Write a 10-line poem inspired by this image, using metaphors and a dreamy tone.”

🌟 Summary of Skills You Master in Section 10

By practicing these 30 prompts, you will learn:

✅ Precise role-based prompting
✅ Structured output control
✅ Multimodal reasoning (text + image + audio + video)
✅ Code generation + debugging prompts
✅ Real-world AI use cases
✅ Creative + analytical skills
✅ Vision-based extraction and transformation
✅ Professional-level prompt engineering

These prompts form a complete practical toolkit for real-world multimodal AI work.

SECTION 11: Multimodal Prompt Templates for Daily Use (Cheat Sheet)

A practical collection of ready-to-use prompts you can copy-paste into any AI model.

This section gives you 45+ high-quality prompt templates, categorized by use case:

Text prompts
Image analysis prompts
Image generation prompts
Audio prompts
Video prompts
Coding prompts
Productivity prompts
Research prompts
Creative prompts
Professional job-based prompts

Each template is designed to produce consistent, high-quality outputs from leading multimodal AI systems.

🧠 11.1 General Purpose Text Prompt Templates

1. Role-Based Expert Prompt

You are an expert in <field>. Explain <topic> to me as if I have no background knowledge.  
Use clear examples, avoid jargon, and keep it concise.

2. Structured Output Prompt

Explain <topic> and format your response using:
- Definition
- Examples
- Key Points
- Summary in one sentence

3. Chain-of-Thought Prompt

Solve this problem step-by-step. Show your reasoning clearly before giving the final answer.
Problem: <problem>

4. Rewrite & Improve Prompt

Rewrite the following text in a more professional, concise, and clear tone:
<text>

5. Comparison Prompt

Compare <item1> and <item2> using:
- Definition
- Pros
- Cons
- When to use which

🟦 11.2 Image Analysis Prompt Templates

6. Describe Image in Detail

Describe everything in this image including objects, emotions, colors, and relationships between elements.  
Be detailed and structured.

7. Extract Data from a Chart

Extract all numerical values, labels, and trends from this chart.
Present the data in a clean table and write key insights.

8. OCR (Handwriting to Text)

Convert the handwritten text in this image into a clean, well-formatted paragraph.
Preserve meaning exactly.

9. UX/UI Review Prompt

Analyze the uploaded UI screenshot and list:
- 10 usability issues  
- 5 design improvements  
- Suggested color/spacing enhancements

10. Explain Diagram Prompt

Explain this diagram step-by-step as if teaching a beginner.  
Include purpose, components, and how the system works.

🎨 11.3 Image Generation Prompts (DALL·E, Midjourney, SD)

11. Realistic Photo Prompt

Create a photorealistic image of <subject> in <environment>  
with <lighting style> and a <camera angle>.

12. 3D Render Prompt

Generate a 3D-rendered object of <item> with glossy lighting,  
soft shadows, and a clean white background.

13. Anime Art Prompt

Create an anime-style illustration of <character>  
in <scene>, using bright vibrant colors and detailed linework.

14. Logo Design Prompt

Generate a minimalistic modern logo representing <brand concept>.  
Use flat vector style with simple shapes and no gradients.

15. Product Photography Prompt

Generate a product photo of <item> placed on a reflective surface  
with dramatic lighting and a premium studio background.

🎧 11.4 Audio Prompt Templates

16. Transcribe Audio

Transcribe this audio accurately with punctuation and speaker labels.

17. Audio Summary

Summarize this audio into:
- Key points
- Decisions
- Action items

18. Emotion Detection

Analyze the speaker’s tone and describe the emotions expressed.

19. Convert Speech → Blog Section

Convert this audio explanation into a polished 250-word blog section  
with headings and bullet points.

20. Audio Cleanup

Clean the audio transcript, remove filler words, correct grammar,  
and maintain original meaning.

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🎥 11.5 Video Prompt Templates

21. Video Breakdown

Explain everything happening in this video with timestamps and steps.

22. Safety Video Review

Analyze this video and list all safety risks and violations you can identify.

23. Action Recognition

Describe every action performed in the video in chronological order.

24. Convert Video → SOP

Convert this tutorial video into a detailed, step-by-step  
Standard Operating Procedure (SOP).

25. Video → Summary

Summarize this video focusing only on the main ideas and key insights.

💻 11.6 Coding Prompt Templates

26. Explain Code

Explain what this code does line-by-line and note any potential errors.

27. Debug Code

Find bugs in this code, explain the issue, and provide a corrected version.

28. Convert Screenshot → Code

Use this UI screenshot to generate HTML, CSS, and JavaScript code  
that recreates the design exactly.

29. Generate API Code

Generate a REST API in <language/framework> for <task> with:
- Routes  
- Validation  
- Error handling  
- Comments

30. Translate Code Between Languages

Convert this Python code into JavaScript with identical behavior.

🧰 11.7 Productivity Prompt Templates

31. Task Breakdown

Break this project into small tasks with deadlines:
<project>

32. Convert Notes → Organized Summary

Rewrite these messy notes into clean, structured sections:
<text>

33. Email Draft

Write a professional email regarding:
<topic>
Tone: polite, concise

34. Create a Timetable or Study Plan

Create a 14-day study plan to master <topic> with daily tasks.

35. Meeting Minutes

Convert this transcript into proper meeting minutes with:
- Decisions  
- Tasks  
- Owners  
- Deadlines

🔬 11.8 Research Prompt Templates

36. Literature Review

Write a literature review on <topic> using academic tone.  
Organize it into:
- Overview  
- Key researchers  
- Important findings  
- Gaps  
- Conclusion

37. Explain Research Paper

Explain this research paper in simple terms with examples.

38. Convert Abstract → Full Explanation

Expand this abstract into a full 500-word explanation with clear sections.

39. Extract Claims & Evidence

From this text, extract:
- Claims  
- Supporting evidence  
- Limitations

40. Dataset Analysis Prompt

Describe the structure and characteristics of this dataset.  
Suggest 5 possible ML projects.

🎨 11.9 Creative Writing Prompt Templates

41. Story Generation

Write a short story about <topic> in the style of <author>.

42. Poem Generation

Write a 10-line poem about <subject> using metaphor and emotion.

43. Rewrite in Different Style

Rewrite this text in a humorous and informal style:
<text>

44. Combine Image + Story

Upload an image.

Write a story inspired by this image in 8–12 sentences.

45. Script Writing Prompt

Write a 1-minute script for a YouTube video explaining <topic> in a fun and engaging way.

🌟 Summary of Section 11

You now have a complete toolkit of 45+ multimodal prompt templates for:

Writing
Research
Coding
Productivity
Image/video/audio analysis
Image generation
Professional tasks
Creativity

These templates will dramatically improve how you use AI daily, both personally and professionally.

SECTION 12: Building Your Own Prompt Library (Folder Structure + Naming System + Templates)

A complete guide to organizing, storing, and scaling your AI prompts like a professional.

Most beginners use prompts randomly. Professionals use a Prompt Library — a structured collection of categorized prompts that can be reused, extended, and optimized over time.

This section teaches you how to build a scalable, professional-grade prompt library used in real AI workflows.

🗂️ 12.1 Why Every AI User Needs a Prompt Library

A prompt library helps you:

✔ Save time on repeated tasks
✔ Maintain consistent quality
✔ Store the best-performing prompts
✔ Organize prompts by type, project, or media
✔ Build re-usable templates for writing, coding, design, research
✔ Collaborate with teams (developers, writers, designers)
✔ Track revisions and improvements

This is essential for AI:

Researchers
Students
Developers
Data scientists
Designers
Content creators
Businesses

Your library becomes a "knowledge system" for how you use AI.

📁 12.2 Folder Structure for a Professional Prompt Library

Below is a proven, scalable folder structure used by AI teams.

/Prompt-Library
    /01_Text
        /Writing
        /Explainers
        /Summaries
        /Translation
        /Emails
    /02_Image
        /Image-Analysis
        /OCR
        /Image-Generation
        /UI-Design
    /03_Audio
        /Transcription
        /Summaries
        /Emotion-Detection
    /04_Video
        /Video-Analysis
        /Instruction-Extraction
        /Summaries
    /05_Coding
        /Debugging
        /Code-Generation
        /Refactoring
        /Architecture
    /06_Research
        /Literature-Review
        /Paper-Summary
        /Data-Extraction
    /07_Productivity
        /Planning
        /Task-Management
        /Meeting-Notes
    /08_Creativity
        /Story
        /Poem
        /Script
    /09_Business
        /Marketing
        /Sales
        /Pitch
        /Branding
    /10_Personal
        /Learning
        /Career
        /Health-Fitness

This folder structure can handle thousands of prompts cleanly.

📌 12.3 Naming Convention (The Most Important Part)

A naming system helps you find prompts instantly.

🔹 Format to use:

[Category] - [Purpose] - [Media] - [Version]

🔹 Examples:

Explainer - Simple Beginner - Text - v1
Debugging - Python Bug Fixer - Code - v2
Image Analysis - Extract Data from Charts - Image - v1.1
Meeting Summary - Detailed - Audio - v3
Marketing - Amazon Product Listing Generator - Text - v1.3

Versioning helps track improvements:

v1 → first working version
v2 → improved
v1.3 → refined (minor fix)

This is exactly how software engineers version their modules.

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Basic knowledge of using mobile and social media
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🧱 12.4 The 4-Layer Prompt Template Structure (Professional Standard)

Every prompt should be built using these 4 layers:

Layer 1: Role

Set who the AI is.

You are an expert <role>.

Examples:

Data Scientist
UX Designer
Senior Python Developer
Academic Researcher

Layer 2: Task

Define the exact goal.

Your task is to <action>.

Examples:

summarize
rewrite
debug
extract data

Layer 3: Constraints

Define how output should be structured.

Follow these rules:
- Use bullet points
- Keep sentences short
- Avoid jargon
- Limit output to 200 words

Layer 4: Input

User content (text, image, audio, video).

Here is the input:
<Your content>

📝 12.5 Master Prompt Template (Copy & Use Everywhere)

You are an expert <role>.
Your task is to <task>.
Follow these constraints:
- <constraint 1>
- <constraint 2>
- <constraint 3>
Here is the input:
<insert text / image / audio / code>

This template produces consistent, structured, and high-quality outputs every time.

🎛️ 12.6 Prompt “Slots” System (For Customization)

To make prompts reusable, use slots:

Example:

Explain <topic> using:
- <style>
- <examples>
- <format>

Slots:

<topic>
<style> → simple, technical, humorous
<format> → bullets, table, paragraph
<examples> → real-world apps, analogies

This makes a single prompt reusable 100+ times.

✨ 12.7 Creating a Prompt Rating System (Optional but Powerful)

Rate prompts after use:

Criteria	Score (1–5)
Accuracy	⭐⭐⭐⭐⭐
Clarity	⭐⭐⭐⭐
Structure	⭐⭐⭐⭐⭐
Creativity	⭐⭐⭐
Consistency	⭐⭐⭐⭐⭐
Overall	⭐⭐⭐⭐

This helps refine your library over time.

🧩 12.8 How to Version and Improve Prompts Over Time

Example improvement log:

v1.0 - Initial prompt created  
v1.1 - Added structured output  
v1.2 - Added better constraints  
v2.0 - Rewrote prompt for clarity and higher accuracy

This is useful when prompting teams collaborate.

🔐 12.9 Storing Prompt Libraries (Local + Cloud + Sync)

Recommended storage options:

Local

✔ Notepad, VS Code, Obsidian
✔ Markdown files

Cloud

✔ Google Drive
✔ Notion
✔ GitHub/GitLab
✔ Dropbox

Sync

✔ Sync across devices
✔ Share with teams
✔ Backups

📦 12.10 Example Prompt Library (Starter Pack)

Below is a ready-to-use set of categorized prompts you can place directly into your library:

/Prompt-Library
    /01_Text
        "Explainer - Simple Beginner - Text - v1.md"
        "Rewrite - Professional Tone - Text - v2.md"
        "Comparison - Two Concepts - Text - v1.md"

    /05_Coding
        "Bug Fixer - Python - Code - v1.md"
        "Explain Code - Line by Line - Code - v1.md"
        "Convert Pseudocode to Python - Code - v2.md"

    /02_Image
        "OCR - Handwriting to Text - Image - v1.md"
        "Chart Extractor - Data Table Generator - Image - v1.md"

    /08_Creativity
        "Story Generator - Emotional Style - Text - v1.md"
        "Poem Generator - Metaphor Style - Text - v1.md"

Your library will grow naturally over time — from 20 prompts → 200 → 2000+.

🎯 12.11 Summary of Section 12

By completing this section, you now know how to build a professional-grade prompt library that helps you:

Organize thousands of prompts
Improve prompt quality
Save time
Work faster and smarter
Use a structured, reusable system
Collaborate efficiently
Scale AI work to real projects

Your prompt library becomes your AI-powered knowledge base.

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GEN AI - III - Prompt Engineering for Multimodal AI, Hands-On Practice, Building Your Own Prompt Library

GEN AI - III

content:

SECTION 9: Prompt Engineering for Multimodal AI (Text, Image, Audio, Video)

🎯 9.1 What Is Prompt Engineering?

🧱 9.2 Types of Prompts

✔️ 1. Instruction Prompts

✔️ 2. Role-Based Prompts

✔️ 3. Chain-of-Thought Prompts

✔️ 4. Few-Shot Prompts (With Examples)

✔️ 5. Multimodal Prompts

🧩 9.3 Prompt Structure Frameworks

9.3.1 CRISP Framework

9.3.2 RACE Framework

9.3.3 GEAR Framework for Multimodal Prompts

🖼️ 9.4 Prompt Engineering for Images (DALL·E, SD, Midjourney)

D – Description

E – Environment

L – Lighting

I – Intensity + Style

M – Mood

🔥 Example Prompt for Image Generation

🔍 Prompting for Image Analysis

🎧 9.5 Prompt Engineering for Audio

✔️ Audio → Text (Transcription Prompt)

✔️ Audio → Summary

✔️ Text → Audio Generation

🎥 9.6 Prompt Engineering for Video

✔️ Video Analysis

✔️ Video Generation

🧠 9.7 Prompt Engineering for Code (Very Important)

Example Prompt:

❌ 9.8 Common Prompting Mistakes

❌ Too short

❌ Missing context

❌ Vague instructions

❌ Asking multiple conflicting things

❌ No output format

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🧬 9.9 Advanced Prompt Engineering Techniques

✔️ 1. Recursive Prompting

✔️ 2. Self-Correction Prompts

✔️ 3. Critic + Creator Method

✔️ 4. Output Programming (Format Enforcement)

✔️ 5. Multimodal Re-Contextualization

🎉 9.10 Summary

SECTION 10: Hands-On Practice — 30 Multimodal Prompts for Day 9 Exercises

🌐 10.1 TEXT-ONLY PROMPTING EXERCISES (Beginner → Advanced)

1️⃣ Role-Based Explanation Prompt

2️⃣ Structured Output Prompt

3️⃣ Chain-of-Thought Prompt

4️⃣ Few-Shot Learning Prompt

5️⃣ Rewrite + Transform Prompt

🖼️ 10.2 IMAGE-BASED PROMPTING EXERCISES

6️⃣ Image Description Prompt

7️⃣ Data Extraction from Chart

8️⃣ UI/UX Feedback Prompt

9️⃣ Detect Errors in an Image

🔟 Convert Handwritten Notes to Text

🎧 10.3 AUDIO-BASED PROMPTING EXERCISES

1️⃣1️⃣ Transcription Prompt

1️⃣2️⃣ Meeting Summary Prompt

1️⃣3️⃣ Speaker Identification Prompt

1️⃣4️⃣ Emotion Detection Prompt

1️⃣5️⃣ Turn Audio → Blog Section

🎥 10.4 VIDEO-BASED PROMPTING EXERCISES

1️⃣6️⃣ Step-by-Step Video Analysis

1️⃣7️⃣ Safety Review Prompt

1️⃣8️⃣ Object Tracking Prompt

1️⃣9️⃣ Instruction Extraction

2️⃣0️⃣ Summarize a Video

💻 10.5 CODE-FOCUSED MULTIMODAL PROMPTING

2️⃣1️⃣ Code Explanation

2️⃣2️⃣ Bug Fixing Prompt

2️⃣3️⃣ Convert Sketch/Diagram → Code

2️⃣4️⃣ Generate Code from UI Screenshot

2️⃣5️⃣ Explain Model Architecture from an Image

🌍 10.6 REAL-WORLD MULTIMODAL USE CASE PROMPTS

2️⃣6️⃣ Resume → Job Match Prompt

2️⃣7️⃣ Analytics from Photo of Whiteboard