AI Post-Training

Training performed after a foundation model's main pretraining stage to shape its skills and behavior. It can include supervised fine-tuning, reinforcement learning and practice in tool-based environments. Post-training can improve coding, reasoning or safety, but may also strengthen unintended capabilities when related tasks appear in the data or reward environments.