post-training

Sat, 18 Jul 2026 09:39:30 +0000

Definition

Post-training is a critical stage in the machine learning lifecycle that occurs after the initial pre-training of a model on large-scale, general-purpose data. During this phase, the model undergoes further optimization, often involving fine-tuning, quantization, or alignment techniques like RLHF (Reinforcement Learning from Human Feedback). This process tailors the model’s capabilities to specific downstream applications, improves accuracy, reduces latency, or aligns outputs with human values, ensuring the model performs optimally in its intended deployment environment.

Model Optimization on English AI Terms Dictionary

post-training

Definition