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I’m curious if at this point it would be possible to train an LLM on this type of estimation. But I don’t understand Ai really well or if they are even good at predictive work. Im going off of research that involved predicting disease (I think it was diabetes)
It would say trump would win 99% of the time because he already wone once
Well… I meant train in on a larger data set going back for republican/Dems a long way back
It would do the same thing
Had to run this through ChatGPT and funny enough it sites this article in the first paragraph. It also has no idea about Kennedy dropping out and endorsing Trump.
LLMs don’t handle booleans, and the 13 keys is an open statement, so the best you could do is train 13 neural networks to determine each of the keys, but you’d need a lot of data for that I suspect we simply don’t have.
It’d probably be better to train a neural network to just output probabilities of each candidate winning based on specific information, like polling data.