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Presentation: From Thousands to One: Building LLM-Powered Selection Systems

LLM non-determinism is killing production systems. Here's how to architect around it.

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Why it matters

Practical engineering patterns for integrating LLMs into deterministic production pipelines — schema restriction, discriminator validation, MVC architecture — addressing real reliability and observability challenges practitioners face when shipping LLM-powered selection systems at scale.

The key facts

11 to know
  1. Non-determinism handling in LLM integration

  2. Schema restriction techniques

  3. Semantic text extraction separated from deterministic code

  4. Discriminator models for choice validation

  5. MVC architecture for LLM systems

  6. Database integrity and observability patterns

  7. Production reliability engineering for LLM pipelines

  8. Schema restriction to enforce determinism

  9. MVC architecture for LLM integration

  10. Semantic extraction decoupled from deterministic code

  11. Non-determinism mitigation in production pipelines

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: Jendrik Jördening shares practical engineering strategies for integrating LLMs into production pipelines. He discusses overcoming non-determinism, restricting schemas, separating semantic text extraction from deterministic code, and validating choices using discriminator models. Learn how to…
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