At AiTonomy, we are working on seeking collaboration on a number of high impact AI initiatives outlined below
Industry Applications of Ai
Ai tools for mental health
AhMU - we are working on AhMU a mental health companion for children and young adults. Think of a digital friend or aunt who is also a wise counselor and is there for you all the time. Ahmu helps children and young adults navigate their understanding of their mental health and well being, and encourages them to identify when they need to seek help from health professionals and appropriate organizations. We hope for Ahmu will increase access to mental health for many children and young adults by providing a non-judgemental interaction platform for access to mental health.
Research on Ai
Model alignment for LLMs
Ensuring LLMs and their applications generate results that are congruent with expectations for their intended use and are safe and aligned with human preferences is a key ongoing area of research. We have invested interests in monitoring and contributing to this research as the AI landscape evolves and AI applications become second nature to our everyday lives.
Interpretability of LLMs and Ai
In some applications such as in healthcare and science, it is imperative that model outputs are interpretable and understood outside black box systems. We are actively following and contributing to research in this area
Optimized decision processes with Reinforcement Learning
Reinforcement Learning is a key AI paradigm that has boosteds the alignment and usability of LLMs. On its own RL, is a promising paradigm in advancing autonomous decision making in industrial or scientific processes and in robotics. Learning to make optimum decisions within an environment from trial and error presents a new frontier for AI and Robotics. We at AiTonomy have vested interest in keeping abreast with RL research and making contributions to the area.