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Smaller LLMs with local knowledge bases can avoid world knowledge hallucinations

A discussion on Reddit suggests that large language models, even those with trillions of parameters, are prone to hallucinating world knowledge. The post proposes using smaller, 4-billion parameter models integrated with local datasets like Wikipedia via a Kiwix skill to mitigate this issue. It also suggests that users could develop custom coding agents to manage knowledge bases and access real-time internet information when necessary. AI

RANK_REASON Discussion on Reddit about LLM hallucination and alternative knowledge management strategies, not a primary source event.

Read on r/LocalLLaMA →

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

Smaller LLMs with local knowledge bases can avoid world knowledge hallucinations

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Discussion on Reddit about LLM hallucination and alternative knowledge management strategies, not a primary source event.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/PieBru ·

    Waiting for a 122B because of world knowledge?

    <!-- SC_OFF --><div class="md"><p>Any LLM will hallucinate the world knowledge, even a 3T model. Use a 4B with a kiwix skill and local Wikipedia, 50gb and no more hallucinated world knowledge.</p> <p>Ask your coding agent to build your own, with your rules and eventual fallback a…