u/airplainfood

Interested whether anyone has built out a simple pipeline for LLM information gathering and what features they found valuable/not valuable. Let's say you pipe in injury report, past 15 games box score, top news headlines, season-to-date advanced stats, rest. Then asked models to pick the slate.

I don't think this is ultimately profitable but there is definite value in collecting and parsing soft information like this, and would be very interesting to compare/contrast what information is most or least additive for a prediction task like this.

I'm a current researcher for my master's degree at a top-20 university; if anyone is in the research field and interested in collaborating on this subject please reach out.

Tryna get a stump to play stump with in my backyard. Anyone got a small tree stump in their backyard or know where I can cop one. Thanks 🙏