What are some effective strategies to reduce data dependency in AI models?

What are some effective strategies to reduce data dependency in AI models?

To reduce data dependency, consider techniques like transfer learning, data augmentation, and synthetic data generation.

Can you explain how transfer learning works?

Transfer learning involves taking a pre-trained model and fine-tuning it on a smaller dataset, leveraging existing knowledge.

What is data augmentation and how does it help?

Data augmentation artificially increases the size of your training dataset by creating modified versions of existing data, improving model robustness.

Are there any tools that can help with synthetic data generation?

Yes, tools like Synthea for healthcare data and Gretel.ai for various applications can help generate synthetic datasets.