Constraining large language model (LLM) hallucinations requires a multi-layered engineering approach combining prompt boundaries, external grounding, structured outputs, and verification loops. [1, 2, 3] Core Strategies to Constrain Hallucinations Retrieval-Augmented Generation (RAG): Connect your model to external vector databases or live web search like Parallel AI to ground responses in verified, real-time data instead… Continue reading Constraining LLM Hallucinations