Psych_ML (AI ASSISTANTS FOR PSYCHOLOGY AND PSYCHIATRY)
Project leader: Sergey Koltsov
Project participants: Anton Surkov
The recent advancements in Large Language Models (LLMs) have opened up the practical possibility of creating AI assistants in the field of psychology and psychiatry based on LangChain technology. However, the development of such assistants is challenging due to the difficulty in obtaining high-quality data for training LLMs and creating a vector base for optimizing prompt queries. The complexity in acquiring data stems from the fact that conversations between patients and psychiatrists are typically not available in the public domain due to ethical reasons. Nevertheless, extensive discussion threads among users exist on social media, which are available for analysis. However, these discussions constitute highly noisy data, hence the need to test and adapt LLMs for the cleansing and preliminary classification of psychological data from the internet.
Project participants: Anton Surkov
The recent advancements in Large Language Models (LLMs) have opened up the practical possibility of creating AI assistants in the field of psychology and psychiatry based on LangChain technology. However, the development of such assistants is challenging due to the difficulty in obtaining high-quality data for training LLMs and creating a vector base for optimizing prompt queries. The complexity in acquiring data stems from the fact that conversations between patients and psychiatrists are typically not available in the public domain due to ethical reasons. Nevertheless, extensive discussion threads among users exist on social media, which are available for analysis. However, these discussions constitute highly noisy data, hence the need to test and adapt LLMs for the cleansing and preliminary classification of psychological data from the internet.
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.