sagan

https://app.wylderhayes.com is running sagan.  

sagan is a tool for serving data science projects.  

This instance is a google kubernetes engine running a streamlit frontend  with a  fastapi backend and the cosmosis machine learning engine running gpt -- a Shakespeare chatbot.  

gpt is a  decoder only generative pre-trained transformer created with my cosmosis machine learning framework.  

Its sagan running gpt running cosmosis.  

Engineering task:  What is the smallest gke cluster needed to train and deploy our Shakespeare chatbot, ensuring it can scale effortlessly and support future ML use cases?