Integrating Non-Deterministic AI Components into Deterministic Software Systems
By
druther
Pulled from the oven just right. Trustworthy, fact-dense, deeply satisfying.
Summary
The article discusses the challenges of integrating AI components, which are inherently non-deterministic, into conventional deterministic software systems. The author presents a practical example of how to characterize and constrain non-deterministic AI outputs to make them usable in structured systems, touching on domain modeling and strategic design approaches to bridge the gap between probabilistic AI behavior and deterministic software requirements.
Key quotes
· 4 pulledWhen we set out to incorporate AI components into larger systems that are mostly conventional software, we encounter various difficulties.
How do we wrangle behavior that is intrinsically non-deterministic so that it can be used in structured, deterministic systems?
The flexibility of input is great! But the variation of output makes it difficult to do further processing by conventional software.
In this simple example I'll characterize and constrain a non-deterministic result to make it usable in deterministic software.
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