Definition #
Collection of software resources enabling AI model development and deployment.
Key Characteristics #
- Neural network architectures
- Data preprocessing utilities
- Visualization dashboards
- Model conversion tools
Why It Matters #
Accelerates AI development cycles by 70% compared to building from scratch.
Common Use Cases #
- Experiment tracking
- Hyperparameter optimization
- Model interpretability
Examples #
- PyTorch Lightning
- Hugging Face Transformers
- Weights & Biases
FAQs #
Q: Open source vs commercial tools?
A: OSS for flexibility, commercial for enterprise support - often used together.
Q: Learning curve for new tools?
A: Focus on tools with active communities (GitHub stars >5k).