DeepHub IMBA
Apr 23, 2026 · Artificial Intelligence
Architectural Fixes for LLM Hallucinations: Inference Parameters, RAG, Constrained Decoding, and Post‑Generation Validation
The article breaks down LLM hallucination mitigation into five layers—runtime inference parameters, retrieval‑augmented generation and prompting tricks, constrained decoding with confidence calibration, post‑generation verification checks, and domain‑specific fine‑tuning plus continuous evaluation—showing how each layer reduces false, confident outputs.
Hallucination MitigationLLMRAG
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