Model Adaptation Trend 2026

Model adaptation tailors pre-trained AI models to specific tasks, domains, or data distributions, improving accuracy without retraining from scratch. It’s used in transfer learning, fine-tuning, and domain adaptation. Developers and businesses benefit by deploying faster, cost-effective models for niche applications like medical imaging, sentiment analysis, or personalized recommendations.