LLM engineering
Section titled “LLM engineering”Architecture, prompting, retrieval, tools, evaluation, and reliability for LLM systems.
Entries (4)
Context engineering for LLM systemsDeliberately select and structure the information a model receives instead of treating the context window as an unbounded memory store.
Evaluate LLM behavior and hallucination riskMeasure model behavior against representative tasks and verify externally checkable claims instead of treating fluent output as evidence.
Retrieval-augmented generationRetrieve external knowledge for a task and provide the selected evidence to the model at generation time.
Structured LLM outputConstrain model output to a machine-checkable schema when downstream software depends on its structure.