Youper utilizes artificial intelligence to revolutionize mental health care, offering scalable solutions for providers, employers, payers, and life science companies. As the first responder for emotional health issues, Youper provides instant support and integrates seamlessly into existing care workflows.
Welcome to Youper, where artificial intelligence meets mental health care. We are dedicated to making mental health care accessible to more people by scaling services and providing instant support through our AI platform. Youper serves as a first responder for individuals in need, enhances care for health professionals, and supports employers in providing better mental health care to their employees. Youper was founded in 2015 by a psychiatrist driven by the goal of democratizing access to treatment. The platform provides behaviour analytics to monitor emotional, psychological, and behavioural health issues. It helps patients manage emotions and behaviours through personalized meditations, enabling users to reformulate thought patterns, think through scenarios, and emotions, and arrive at healthier states of mind.
DeepSeek-R1 is a reasoning model trained via large-scale reinforcement learning (RL) without the need for supervised fine-tuning (SFT). It demonstrates remarkable performance in reasoning tasks, including self-verification and reflection. The model addresses challenges such as endless repetition and poor readability, and achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.
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.
SoulChat2.0 is a framework for constructing the digital twin of psychological counselors, designed to support the development of AI applications in mental health. It includes a data generation module and a modeling module, enabling the creation of personalized counseling models based on limited real-world counseling cases.