LLMs hallucinate in domain-specific languages (DSLs). Typed Domain Grounding offers a way to reduce it.
Irakli Betchvaia explores how embedding DSLs in mainstream typed languages, paired with compiler validation and generate-compile-repair loops, can make AI-generated code more reliable.
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In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.
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