STORY · VERKTOY_
Domain-specific languages make LLMs reliable
Martin Fowler argues that domain-specific languages (DSLs) can be used to control and validate output from large language models, making them more predictable in production. By forcing models to generate structured output within defined grammars, hallucinations and unintended responses are reduced.
WHY IT MATTERS
This is practically important for building reliable AI systems in enterprises where you cannot accept arbitrary errors. The DSL approach is likely to become a standard pattern for making LLMs behave deterministically.
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