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.
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.