LLM reliability #1-2: grounding in trusted data and validating every output
goyalshaliniuk · x · 2026-10-10
Parts 1-2 of goyalshaliniuk's LLM reliability series:
1. Ground answers in trusted data — don't rely on internal model knowledge: retrieve relevant documents, connect trusted sources, cite supporting evidence, flag unsupported claims. RAG helps but retrieval quality matters.
2. Validate every output — never assume the expected format: enforce structured outputs, validate JSON schemas, check required fields, apply business rules. Let code enforce what code can verify.
Related event: Seven Ways to Make LLMs More Reliable: From RAG to Production Monitoring(9 posts)→
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