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LLMs randomly select words with equal probability, impacting accuracy

By PulseAugur Editorial · [1 sources] ·

Large Language Models (LLMs) make random selections when multiple words have an equal probability of being chosen next. This process, while seemingly straightforward, can contribute to the models sometimes producing incorrect or nonsensical outputs. AI

IMPACT This detail may explain some of the unpredictable outputs from LLMs, but it is a minor technical point.

RANK_REASON The item discusses a technical detail about LLMs in a casual, anecdotal manner without presenting new research or a product release.

Read on Mastodon — fosstodon.org →

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

LLMs randomly select words with equal probability, impacting accuracy

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0 / 100
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Meme
The item discusses a technical detail about LLMs in a casual, anecdotal manner without presenting new research or a product release.
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Single-source cluster
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High
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Story freshness
34 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Fun fact about LLMs # ai Whenever a word comes up with equal probability to another word they just pick randomly. 😳👀😵 I did not know that. Thanks @ siracusa No

    Fun fact about LLMs # ai Whenever a word comes up with equal probability to another word they just pick randomly. 😳👀😵 I did not know that. Thanks @ siracusa No wonder they are often wrong then! @ atpfm

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