ai-training

Coverage of how AI models are actually built, from data collection and pretraining to fine-tuning, distillation, and alignment. Expect practitioner takes on the techniques that shape model behavior, the compute and data pipelines behind them, and the legal gray zones around training data, terms of service, and model distillation. You will find analysis of who controls training, what methods work, and where the disputes over how models learn are heading.