Parami AI Pet is an AI-powered companion pet designed to provide emotional support and care for the elderly and children. It leverages advanced AI technologies to offer interactive and engaging experiences, making it a valuable companion for those who need it most.
Parami AI Pet is an innovative solution for providing emotional support and care to the elderly and children. It uses advanced AI technologies such as speech recognition and computer vision to interact with users in a natural and engaging way. Parami AI Pet is designed to be a true companion, offering support and companionship to those who need it most.
The IC-AnnoMI repository contains source code and a synthetic dataset generated through in-context zero-shot LLM prompting for mental health and therapeutic counselling. IC-AnnoMI is a project that generates contextual MI dialogues using large language models (LLMs). The project contains source code and a synthetic dataset generated through zero-shot prompts, aiming to address the data scarcity and inherent bias problems in mental health and therapeutic consultation.
The Substance Abuse and Mental Health Data Archive (SAMHDA) provides a comprehensive collection of data sets related to mental health and substance use. It includes ongoing studies, population surveys, treatment facility surveys, and client-level data, offering valuable insights for researchers and policymakers.
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.