Constraining LLMs Just Like Users
Summary
Blog post exploring how to constrain LLM outputs for reliability, including token-probability control, post-inference validation, and safe tool calling. It emphasizes that LLMs are not validators and discusses practical techniques to bound their behavior and improve human-computer interactions.