LLM Hallucination—Types, Causes, and Solution

LLM Hallucination—Types, Causes, and Solution

In this article, you will learn about the phenomenon of LLM hallucination—when models produce text that is incorrect or makes no sense—and its effects on AI performance, including types, causes, and strategies to reduce these errors and improve reliability.

Read the article at: https://nexla.com/ai-infrastructure/llm-hallucination

Mark Underwood

Sr. Consult for AI / InfoSec Strategic Initiatives; secure SDLC; data protect; privacy; symbolic AI; OPA; ABAC; metadata governance; compliance; 12 yrs finance & defense sector InfoSec; sustainability CRISC CDPSE CSQE

6 个月

Worth a skim to see Nexla context for this advice: "Build retrieval-augmented generation (#RAG) with no code" #AI #dataquality

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