https://github.com/blackboxvision/ai-labs
Experiments for I+D research at BlackBox Vision. From LLM Interactions, AI Agents and Custom models.
https://github.com/blackboxvision/ai-labs
Last synced: 8 months ago
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Experiments for I+D research at BlackBox Vision. From LLM Interactions, AI Agents and Custom models.
- Host: GitHub
- URL: https://github.com/blackboxvision/ai-labs
- Owner: BlackBoxVision
- Created: 2025-05-21T10:02:05.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-21T10:08:50.000Z (about 1 year ago)
- Last Synced: 2025-05-21T11:26:18.948Z (about 1 year ago)
- Language: TypeScript
- Size: 141 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# BlackBoxVision AI Labs
Welcome to BlackBoxVision's AI Labs repository! This space showcases our experiments and developments in artificial intelligence, focusing on practical applications and innovative solutions.
## 🚀 Current Projects
### v0 - AI-Powered Development
- Rapid prototyping and development using AI assistance
- Code generation and optimization
- Automated testing and quality assurance
- Integration with modern development workflows
### Lovable - AI Agent Framework
- Building intelligent, autonomous agents
- Natural language processing capabilities
- Task automation and decision making
- Custom agent development and deployment
### Bolt - High-Performance AI Solutions
- Optimized AI model deployment
- Real-time processing capabilities
- Scalable architecture design
- Performance benchmarking and optimization
## 🔧 LLM Integrations
### OpenRouter Integration
- Testing and implementing various LLM providers
- Cost-effective model routing
- Performance comparison and optimization
- Custom model fine-tuning
### Custom Model Development
- Building specialized AI models
- Fine-tuning for specific use cases
- Model evaluation and validation
- Deployment and monitoring
## 🛠️ Tools and Technologies
- Python
- TensorFlow/PyTorch
- LangChain
- OpenAI API
- Custom AI frameworks
- Docker and containerization
- Cloud deployment solutions
## 📚 Resources
- [Documentation](docs/)
- [API References](api/)
- [Best Practices](best-practices/)
- [Contributing Guidelines](CONTRIBUTING.md)
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for more information on how to get involved.
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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_BlackBoxVision AI Labs - Pushing the boundaries of AI innovation_