# WIA-AI-026: Generative AI Standard 🎨

> **홍익인간 (弘益人間)** - Widely benefiting humanity through generative AI

The WIA-AI-026 Generative AI Standard provides a comprehensive, unified framework for text, image, audio, video, and multimodal content generation. Built on principles of safety, accessibility, and interoperability, this standard enables developers to harness the power of generative AI responsibly and effectively.

## 🌟 Features

### Multi-Modal Generation
- **Text**: Advanced language models (GPT, Claude, LLaMA, Mistral)
- **Image**: Stable Diffusion, DALL-E, Midjourney integration
- **Audio**: Text-to-speech, music generation, sound effects
- **Video**: Text-to-video, image-to-video (Phase 2+)
- **3D**: Text-to-3D model generation (Phase 3+)

### Safety & Ethics First
- Multi-layer content filtering
- Bias detection and mitigation
- Privacy-preserving techniques
- Watermarking and provenance tracking
- Constitutional AI principles

### Developer-Friendly
- Intuitive TypeScript/Python SDKs
- RESTful API with OpenAPI spec
- Comprehensive documentation
- Interactive simulator
- Example applications

### Enterprise-Ready
- 99.9%+ uptime SLA
- Scalable infrastructure
- Fine-tuning capabilities
- On-premise deployment options
- Advanced analytics

## 📚 Documentation

### Quick Links
- [🧪 Interactive Simulator](./simulator/index.html) - Try it live!
- [📖 English E-Book](./ebook/en/01-introduction.md) - Comprehensive 8-chapter guide
- [📚 Korean E-Book](./ebook/ko/01-introduction.md) - 한국어 완벽 가이드
- [📋 Specifications](./spec/PHASE1.md) - Technical specs (4 phases)
- [💻 TypeScript SDK](./api/typescript/) - Official SDK

### E-Book Contents

**English** (8 chapters, ~160KB total):
1. [Introduction to Generative AI](./ebook/en/01-introduction.md)
2. [Generative Adversarial Networks (GANs)](./ebook/en/02-gans.md)
3. [Variational Autoencoders (VAEs)](./ebook/en/03-vaes.md)
4. [Diffusion Models](./ebook/en/04-diffusion-models.md)
5. [Large Language Models](./ebook/en/05-large-language-models.md)
6. [Text-to-Image Generation](./ebook/en/06-text-to-image.md)
7. [Multimodal Generation](./ebook/en/07-multimodal-generation.md)
8. [Ethics and Safety](./ebook/en/08-ethics-and-safety.md)

**Korean** (8 chapters, ~120KB total):
1. [생성형 AI 소개](./ebook/ko/01-introduction.md)
2. [생성적 적대 신경망 (GAN)](./ebook/ko/02-gans.md)
3. [변분 오토인코더 (VAE)](./ebook/ko/03-vaes.md)
4. [확산 모델](./ebook/ko/04-diffusion-models.md)
5. [대규모 언어 모델](./ebook/ko/05-large-language-models.md)
6. [텍스트-투-이미지 생성](./ebook/ko/06-text-to-image.md)
7. [멀티모달 생성](./ebook/ko/07-multimodal-generation.md)
8. [윤리 및 안전](./ebook/ko/08-ethics-and-safety.md)

## 🚀 Quick Start

### Installation

```bash
# TypeScript/JavaScript
npm install @wia/generative-ai

# Python (coming soon)
pip install wia-generative-ai
```

### Usage Examples

#### Text Generation

```typescript
import { GenerativeAI } from '@wia/generative-ai';

const ai = new GenerativeAI({ apiKey: process.env.WIA_API_KEY });

// Simple text generation
const response = await ai.text.generate({
  prompt: 'Write a haiku about artificial intelligence',
  temperature: 0.7,
  maxTokens: 100
});

console.log(response.text);

// Streaming generation
for await (const chunk of ai.text.generateStream({
  prompt: 'Tell me a story about robots',
  temperature: 0.8
})) {
  process.stdout.write(chunk.delta);
}
```

#### Image Generation

```typescript
// Generate images
const images = await ai.image.generate({
  prompt: 'A futuristic city with flying cars, cyberpunk style, 8k',
  negativePrompt: 'blurry, low quality',
  width: 1024,
  height: 1024,
  numImages: 4,
  guidanceScale: 7.5
});

images.images.forEach((img, i) => {
  console.log(`Image ${i + 1}: ${img.url}`);
});

// Image editing
const edited = await ai.image.edit({
  image: 'path/to/image.jpg',
  mask: 'path/to/mask.png',
  prompt: 'Add a sunset in the background'
});

// Image-to-image transformation
const transformed = await ai.image.imageToImage(
  'path/to/image.jpg',
  'Van Gogh style painting',
  0.8
);
```

#### Audio Generation

```typescript
// Text-to-speech
const speech = await ai.audio.textToSpeech(
  'Welcome to WIA Generative AI',
  'en-US-neural-male',
  'en'
);

console.log(`Audio URL: ${speech.audioUrl}`);

// Music generation
const music = await ai.audio.generateMusic(
  'Upbeat electronic music with synthesizers, 120 BPM',
  30 // 30 seconds
);

// Sound effects
const sfx = await ai.audio.generateSoundEffect(
  'Door creaking open slowly'
);
```

#### Safety Moderation

```typescript
// Check content safety
const safetyResult = await ai.safety.check(
  'User-generated content to moderate'
);

if (safetyResult.safe) {
  console.log('Content is safe');
} else {
  console.log('Flagged categories:', safetyResult.categories);
}
```

#### Fine-Tuning (Phase 2+)

```typescript
// Create fine-tuning job
const job = await ai.finetune.create({
  baseModel: 'gpt-3.5-turbo',
  trainingData: [
    { input: 'Question 1?', output: 'Answer 1' },
    { input: 'Question 2?', output: 'Answer 2' },
    // ... more examples
  ],
  hyperparameters: {
    epochs: 3,
    loraRank: 8
  },
  name: 'my-custom-model'
});

// Check status
const status = await ai.finetune.get(job.id);
console.log(`Progress: ${status.progress}%`);
```

## 🏗️ Architecture

```
┌─────────────────────────────────────────────────────────┐
│                   WIA Generative AI                     │
├─────────────────────────────────────────────────────────┤
│                                                          │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐             │
│  │   Text   │  │  Image   │  │  Audio   │  ...        │
│  │ Generator│  │ Generator│  │ Generator│             │
│  └─────┬────┘  └────┬─────┘  └────┬─────┘             │
│        │            │             │                     │
│  ┌─────┴────────────┴─────────────┴─────┐             │
│  │        Generative AI Gateway          │             │
│  │  (Routing, Load Balancing, Caching)   │             │
│  └───────────────┬───────────────────────┘             │
│                  │                                       │
│  ┌───────────────┴───────────────────────┐             │
│  │        Safety & Moderation            │             │
│  │  (Input Filter, Output Filter, PII)   │             │
│  └───────────────┬───────────────────────┘             │
│                  │                                       │
│  ┌───────────────┴───────────────────────┐             │
│  │      Authentication & Authorization    │             │
│  └───────────────────────────────────────┘             │
└─────────────────────────────────────────────────────────┘
```

## 📋 Roadmap

### Phase 1 (Q1-Q2 2025) ✅
- [x] Text generation (GPT, Claude, LLaMA)
- [x] Image generation (Stable Diffusion, DALL-E)
- [x] Audio generation (TTS, music)
- [x] Safety & moderation
- [x] TypeScript SDK
- [x] Documentation & simulator

### Phase 2 (Q3-Q4 2025)
- [ ] Video generation
- [ ] Multimodal models
- [ ] Fine-tuning API
- [ ] Python SDK
- [ ] Advanced personalization

### Phase 3 (Q1-Q2 2026)
- [ ] 3D generation
- [ ] Real-time streaming
- [ ] Edge deployment
- [ ] Mobile SDKs

### Phase 4 (Q3-Q4 2026)
- [ ] WIA ecosystem integration
- [ ] Sustainable AI infrastructure
- [ ] Global accessibility (100+ languages)
- [ ] Research platform

## 🔒 Security & Privacy

- **No Training on User Data**: Your prompts are never used for training without explicit consent
- **Data Retention**: 30 days default (configurable)
- **GDPR Compliant**: Full compliance with EU data protection
- **Encryption**: TLS 1.3 for data in transit, AES-256 for data at rest
- **Audit Logs**: Complete audit trail for compliance
- **SOC 2 Type II**: Certified security practices

## 💰 Pricing

### Developer (Free)
- 100 text generations/day
- 10 image generations/day
- 10 audio generations/day
- Community support

### Professional ($49/month)
- 10,000 text generations/month
- 1,000 image generations/month
- 500 audio generations/month
- Email support

### Enterprise (Custom)
- Unlimited generations
- Dedicated infrastructure
- SLA guarantees
- Priority support
- Custom models

## 🤝 Contributing

We welcome contributions! Please see our [Contributing Guide](./CONTRIBUTING.md) for details.

```bash
# Clone the repository
git clone https://github.com/WIA-Official/wia-standards.git
cd wia-standards/generative-ai

# Install dependencies
cd api/typescript
npm install

# Run tests
npm test

# Build
npm run build
```

## 📄 License

MIT License - see [LICENSE](./LICENSE) for details

## 🔗 Related Standards

- [WIA-INTENT](../intent/) - Semantic intent understanding
- [WIA-OMNI-API](../omni-api/) - Unified API gateway
- [WIA-SOCIAL](../social/) - Social platform integration
- [WIA-BLOCKCHAIN](../blockchain/) - Provenance tracking
- [WIA-AIR-POWER](../air-power/) - Distributed compute
- [WIA-AIR-SHIELD](../air-shield/) - Security & privacy

## 📞 Support

- **Documentation**: [https://docs.wia.org/generative-ai](https://docs.wia.org/generative-ai)
- **Discord**: [https://discord.gg/wia](https://discord.gg/wia)
- **Email**: support@wia.org
- **GitHub Issues**: [Report a bug](https://github.com/WIA-Official/wia-standards/issues)

## 🙏 Acknowledgments

This standard builds upon groundbreaking research and open-source contributions from:
- OpenAI (GPT, DALL-E, Whisper)
- Anthropic (Claude, Constitutional AI)
- Stability AI (Stable Diffusion)
- Meta (LLaMA)
- Mistral AI (Mistral models)
- Google (Gemini, Imagen)
- And countless researchers advancing generative AI

## 📚 Citation

If you use this standard in your research or project, please cite:

```bibtex
@standard{wia-ai-026,
  title={WIA-AI-026: Generative AI Standard},
  author={SmileStory Inc.},
  year={2025},
  organization={World Industry Alliance},
  url={https://wia.org/standards/AI-026}
}
```

---

<div align="center">

**홍익인간 (弘益人間)**

*Widely benefiting humanity through responsible generative AI*

Made with ❤️ by [SmileStory Inc.](https://smilestory.co) for the [World Industry Alliance](https://wia.org)

[Website](https://wia.org) • [Documentation](https://docs.wia.org) • [Community](https://discord.gg/wia) • [Blog](https://blog.wia.org)

© 2025 SmileStory Inc. / WIA • All Rights Reserved

</div>