Will Synthetic Data Drive the Future of AI/ML Training?
Synthetic data can help train AI/ML applications in edge cases where it is difficult or dangerous to capture data in real
Synthetic data can help train AI/ML applications in edge cases where it is difficult or dangerous to capture data in real
Removing the human element from the data collection process for machine learning model training can introduce security
Building on a Jupyter Notebooks foundation, the new toolkit is designed to help reduce model development tasks
Innovative tools and data annotation service companies help produce much higher quality data to train AI models in much faster time