An LLM has been configured to generate code in the Hyperlambda language, where every function invocation is verified against a known set of existing functions during execution. If the model attempts to call a non-existent function, the system automatically retries the generation up to two additional times before returning an error.
- The approach integrates into "generate code endpoints" as a 10ms process, making hallucination prevention fully automatic.
- This verification loop resulted in an evaluation score increase of almost 10 percentage points for the LLM.
- While the model cannot hallucinate non-existent functions or concepts, it can still hallucinate intent, such as querying the wrong database.
This method ensures that the generated code is syntactically valid by construction, significantly improving reliability in automated code generation tasks.