Creating Dr. Kohn

 I recently was able to create a GPT chatbot that provides answers for VASP. I called it Dr. Kohn; I wrote about something like this in an early post this year here. For the past few weeks, I've been working on another activity where I'm trying to use LangChain to create a very robust generative app for aiding computational scientists, but for the GPT chatbot I'm referencing I used another platform called proudly. What made it so fascinating was how easy it was to do. In essence, you provide workflow steps and then deploy. There isn't anything too special about Dr. Kohn compared to other GPT uses, but what makes it maybe a bit better is that it has "knowledge" about VASP documentation and tutorials. One can further expand the knowledge by just providing more reference documents. 

I'm curious how useful it will be to me. I'm planning on using it when I start my VASP calculations from scratch. When it fails, I'll revisit how to improve it. If you want to test it out please do! and let me know if it fails miserably. Eventually, I would redo this using the LangChain package which will allow for a lot more hands-on adjusting 

Reuse and Attribution