Mello: A Large Language Model for Mental Health Counselling Conversations

This is the authors' abstract. We don't add key points for this paper.

Amidst a time when providing assistance for mental health is extremely crucial, a cutting-edge language model that has been specifically trained on talks related to mental health counselling emerges as an innovative answer. The objective of this study is to enhance the understanding and generation of human language in the context of providing mental health assistance. By utilising a diverse dataset of anonymous counselling sessions, the model has been trained to recognize and respond to a wide range of mental health concerns, including anxiety, depression, stress, and more. The fine-tuning process incorporates ethical considerations, privacy concerns, and careful attention to the complexities of mental health conversations. The finished model will demonstrate a comprehensive comprehension of mental health issues and provide empathetic and compassionate assistance. Offering supportive and motivating responses, serving as a crucial asset for individuals in need of advice, mental health experts, and the broader healthcare community.