Digital Twin Retraining

I have been slowly improving the capabilities for my digital twin. My last major update involved improving email responses. The initial responses were based on the premise that email threads were 1:1 conversations, but I have recently made some improvements to track and reply to anyone in the To or CC headers. My twin is intentionally ignoring emails where I am in the BCC due to the nature of those conversations.

With the recent updates, I decided that it's now a good time to retrain the model with the new data that I have been collecting. I have been using my mailbox as a good data source. I also pulled a copy of my LinkedIn data. LinkedIn is my primary social network for my professional ecosystem. I often get pinged via LinkedIn messaging to chime in on technology issues, referrals, and occasional open roles. The direct nature of those chats provides a good data set for question/response email replies. I also have access to comments that I have made on LinkedIn posts. Although I am not currently utilizing the data, I have a log any emoticon responses.

I am trying to make continuous updates to my digital twin so that I can stay current with AI trends and capabilities.