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Abstract： |
The Current Landscape of Large Language Models in Mental Health Research:
Large Language Models (LLMs) have emerged as powerful tools in various domains, including mental health. Their ability to process and generate human-like text has opened new avenues for mental health assessment, intervention, and support. This seminar explores the current state of research on LLMs in mental health, focusing on their applications in therapy, diagnosis, and mental health monitoring. The benefits and challenges of using LLMs, including ethical concerns, bias, and the potential risks of misinformation, will be examined. Additionally, ongoing efforts to improve the reliability and safety of these models for mental health applications will be explored. Finally, future directions and the role of interdisciplinary collaboration in harnessing LLMs for mental health care will be discussed.
Integrative AI-Driven Framework for Smart Microgrid Operations:
Smart grid refers to the organic combination of various power technologies, information technologies, and automation technologies based on integrated and high-speed bidirectional communication network technology to achieve the intelligence of the power grid. It has changed the application environment of traditional power supply technology, making power transmission and use more flexible, reliable, and safe. In recent years, with the rapid development of artificial intelligence and big data technology, promoting the development and application of digitalization and intelligence in energy systems has also received widespread attention from the academic community at home and abroad. He will introduce key technologies on the "source grid storage load" side of microgrids based on artificial intelligence related theories.
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