Library/AI & GenAI Engineering/Dependency Injection for LLM Reliability
AI & GenAI Engineering

Dependency Injection for LLM Reliability

Dependency Injection (DI) is a software design pattern crucial for developing reliable and testable Large Language Model (LLM) applications. It promotes modularity and simplifies testing by decoupling components and allowing for easy substitution of dependencies with mock implementations, vital for handling LLM non-determinism and evolving models.

Dependency InjectionLLM ChainsMock ImplementationsNon-DeterminismModularityTestabilityLLM AgnosticInversion of Control

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Dependency Injection for LLM Reliability diagram

Dependency Injection for LLM Reliability - System Design Diagram

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