Reinforcement Learning for Calibrated Decisions

TypeSafe leaves stealth with a model whose confidence scores developers have to calibrate themselves

TypeSafe's first model, Jev, answers structured questions with typed output and a confidence measure attached. The account of its launch says developers have to check those scores against real outcomes on their own data first.