MeditAI: Fine-Tuning Pre-trained Large Language Models for Guided Mindfulness Practice

Sammanfattning

This project developed MeditAI, an AI-powered chatbot designed to offer guided mindfulness practices to support the well-being of older adults. Given that mindfulness practices have been shown to alleviate mental and emotional challenges, this project focuses on fine-tuning two large language models, GPT-3.5 and LLaMA-2, to generate personalized mindfulness scripts for older adults, aimed at reducing stress, fostering positive thinking, easing loneliness, and improving sleep. The models were evaluated using metrics such as BLEU, ROUGE, METEOR, and BERTScore to assess both linguistic accuracy and semantic coherence. While GPT-3.5 demonstrated superior coherence and fluency, LLaMA-2 achieved a marginally higher F1 score, highlighting its potential for tasks requiring a balance between precision and recall. These results suggest that both models have unique strengths depending on the evaluation criteria. This project offers a novel approach to supporting the mental health of older adults through personalized digital mindfulness practices. The project underscores the potential of large language models in mental health care, while also addressing the technical challenges and computational demands associated with fine-tuning. Future research could focus on optimizing model performance with larger datasets and expanding the application of digital mindfulness to other populations.