GPT-2 Agents

• Search the db for the appropriate “from to” text snippet (e.g. “Black moves pawn from e2 to e3”), with a count of the number of times this move was done using that piece. Done!
• Add a “fewest hops” (A* – traditional network approach), closest (each step finds the closest node to the target) in addition to the line following algorithm. There will have to be some user testing to see what makes the most sense, if any
• Played around a bit with Summarization, but it didn’t work that well
• TextHero came across my Twitter feed. It might be good for topic extraction? Trying it out, but the documentation is… sparse. Checking out
  • Installing many things:
    • unidecode
    • spacy (which installs many other things)
    • plotly (I thought you had to pay to use this?)
    • wordcloud
  • Working through the example, which is broken. Trying to fix based on the Getting Started

GOES

• 11:00 Meeting with Vadim
• Got the DataDictionary streaming to InfluxDBL

• More Satern – one more course down