AI Adaptation Techniques
AI adaptation techniques refer to the methods and strategies used to modify artificial intelligence systems in order to improve their performance, efficiency, and accuracy. These techniques involve adjusting algorithms, parameters, and models to better suit the specific task or environment in which the AI system is operating. This may include techniques such as transfer learning, fine-tuning, hyperparameter optimization, and data augmentation to enhance the adaptability and robustness of AI systems in various applications.