---
title: "Discussion on \"Why LLMs Hallucinate: A Technical Look at Confident, Incorrect Output\" | Hashnode"
description: "Discussion on \"Why LLMs Hallucinate: A Technical Look at Confident, Incorrect Output\". If you've built anything on top of an LLM, you've run into this: the model returns a well-structured, grammatically perfect answer — and it's wrong. Not vague-wrong. Specifically, confidently wrong. A"
url: "https://hashnode.com/posts/why-llms-hallucinate-a-technical-look-at-confident-incorrect-output/6a8e88d194d89933afb123c6"
---

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# [Why LLMs Hallucinate: A Technical Look at Confident, Incorrect Output](https://btawrites.hashnode.dev/why-llms-hallucinate-a-technical-look-at-confident-incorrect-output?utm_source=hashnode&utm_medium=feed)

If you've built anything on top of an LLM, you've run into this: the model returns a well-structured, grammatically perfect answer — and it's wrong. Not vague-wrong. Specifically, confidently wrong. A

Aug 26 · 5 min read · btawrites.hashnode.dev  
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## Written by

[Rutvika Goswami](https://hashnode.com/@Btawrites)

@Btawrites

  
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From bug to breakthrough\_\_where code meets persepective

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