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LLM hallucinated numbers despite valid URLs, developer finds

By PulseAugur Editorial · [1 sources] ·

A developer integrated the Claude API into their PostaGen SaaS to generate app ideas, but discovered the LLM hallucinated numbers and cited irrelevant sources. The initial pipeline used Anthropic's web search tool, followed by a structuring call to convert notes into JSON. A manual review revealed that while URLs were valid, the cited text often didn't support the numbers presented, and some sources were complaint pages or blog posts. A suggested fix involves retaining the `cited_text` from the web search results, ensuring the LLM uses passages that actually contain the numbers it reports. AI

IMPACT Highlights the ongoing challenge of ensuring factual accuracy and source relevance in LLM-generated content, even with citation tools.

RANK_REASON Developer shares a technical post-mortem on an LLM hallucination issue and its fix.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM hallucinated numbers despite valid URLs, developer finds

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Developer shares a technical post-mortem on an LLM hallucination issue and its fix.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Everton Paula ·

    My LLM pipeline cited real URLs for numbers those pages never said

    <p>I run PostaGen, a small SaaS for the Brazilian market, and last week I added an app idea generator to it. You pick a niche, an audience and a country. It searches the web and returns 5 to 8 app ideas, each with a score, competitors, real user complaints and a price range.</p> …

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