Implementing Grammar Constraints in LLM Outputs Using Bumblebee

The article explores how we can influence the outputs generated by LLMs by utilizing state machines to enforce grammar compliance. It discusses the process of transforming logits to control generated tokens according to a specified schema, particularly focusing on how to effectively combine the state machine model with Bumblebee's logits processor. By enabling these transformations, it becomes possible to direct the generation process to follow complex structures such as deterministic finite automata (DFA), thereby improving the quality and validity of LLM outputs. The author details both the theoretical aspects of this approach and practical implementations using Elixir, emphasizing the creation and handling of states and transitions within the processing loop of the LLM. It concludes with future directions for the integration of more advanced features to enhance the functionality of grammar-constrained outputs.