Cleft lip and palate-generative pre-trained transformer: A parameter-efficient, domain-specific language model for cleft lip and palate clinical applications

Key Points

• CLP-GPT achieves performance similar to other large language models in cleft lip and palate applications, emphasizing its capabilities.
• The parameter-efficient model has shown comparable results, needing fewer computational resources than traditional approaches.
• Analysis of the domain-specific model illustrates its potential for optimized performance in clinical applications related to cleft lip and palate.
• Supporting the use of tailored machine learning solutions, this work invites further exploration in specialized healthcare domains.