Deleting Language from the LLM: Inside TypeSafe's Jev and Decision Models
When you force a 70-billion-parameter language model to output ’true’ or ‘false’, you pay for sequential token decoding, uncalibrated probabilities, and broken JSON. Here is why TypeSafe stripped natural language out of the loop.