Federated learning trains a shared ML model across many devices or institutions without any device ever sending its raw data to a...
Fine-tuning adapts a pre-trained language model to a specific task or behavior. Full fine-tuning is prohibitively expensive for mo...
MLOps applies DevOps practices to the full machine learning lifecycle, covering experiment tracking, model versioning, CI/CD, moni...
Synthetic data is machine-generated data that mimics the statistical properties of real data without containing actual records. It...