In RFT, programmable graders assign scores from zero to one, and reinforcement learning trains the model to maximize those scores.

“these programmable graders these scoring functions right they'll output a score of zero to one and the model learns to kind of hill climb and try to maximize these scores using rl right so with the api it starts with a grader right and there's different types you could try like string match you could try regex you could do a fuzzy match”