Assessment of the Potential Application of Big Language Models in the Formulation of Exercise Prescriptions
The large language model,with its excellent natural language processing and deep learning techniques,provides new possibilities for large-scale personalized exercise prescriptions.Evaluating the 12 week resistance training plan designed by Baidu large language model"ERNIE Bot"for simulated subjects of different sexes and different training experiences.The research results show that"ERNIE Bot"performs well in key dimensions such as action selection,training frequency,load intensity,etc.The 4.0Turbo version has more obvious advantages in training intensity,frequency and method diversity than the 3.5 version,and can generate personalized plans with significant differentiation,which conforms to the scientific training principles.However,this model has limitations in controlling action rhythm and providing real-time feedback.It is recommended to use the large language model as an auxiliary tool,combined with the coach's professional judgment and real-time adjustment,to optimize the training effect.In the future,the real-time adaptability and personalization of the model should be further improved.
Large Language Model(LLM)exercise prescriptionresistance trainingpotential assessment
NETL
NSTL
万方数据
