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Learn how to eliminate unreliable LLM outputs by implementing structured generation through logits processing in Elixir. Discover a 2016 technique that constrains language models at the token level to guarantee valid output formats like JSON, eliminating the need for post-generation validation and retry loops. Explore how to integrate grammar constraints directly into the decoding process using Bumblebee and Nx, leveraging the BEAM's supervision capabilities to build more reliable AI-powered applications. Master the implementation of logits-level gating to ensure your models cannot produce invalid output for critical tasks such as generating configuration files, test data, or Erlang term syntax, while understanding why this powerful approach has remained largely unknown in industry applications despite its research origins.
