--- title: [2405.05417] Fishing for Magikarp: Automatically... description: A comprehensive analysis of Large Language Model (LLM) tokenizers is presented, focusing on the detection of untrained and under-trained tokens. The prevalence... canonical: https://daily.dev/posts/2405-05417-fishing-for-magikarp-automatically-detecting-under-trained-tokens-in-large-language-mo-jgu9yn6il twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: [2405.05417] Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models | daily.dev og:description: A comprehensive analysis of Large Language Model (LLM) tokenizers is presented, focusing on the detection of untrained and under-trained tokens. The prevalence... og:url: https://daily.dev/posts/2405-05417-fishing-for-magikarp-automatically-detecting-under-trained-tokens-in-large-language-mo-jgu9yn6il og:image: https://api.daily.dev/og/posts/jGu9Yn6Il.png og:image:alt: [2405.05417] Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # [2405.05417] Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models **[Hacker News](https://daily.dev/sources/hn)** · 1 min read · 0 upvotes · 0 comments ## Summary A comprehensive analysis of Large Language Model (LLM) tokenizers is presented, focusing on the detection of untrained and under-trained tokens. The prevalence of such tokens across various models is demonstrated, along with insights for improving the efficiency and safety of language models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#computer-science](https://daily.dev/tags/computer-science) [View this post on daily.dev](https://daily.dev/posts/2405-05417-fishing-for-magikarp-automatically-detecting-under-trained-tokens-in-large-language-mo-jgu9yn6il) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"[2405.05417] Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models","url":"https://daily.dev/posts/2405-05417-fishing-for-magikarp-automatically-detecting-under-trained-tokens-in-large-language-mo-jgu9yn6il","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/2405-05417-fishing-for-magikarp-automatically-detecting-under-trained-tokens-in-large-language-mo-jgu9yn6il"},"datePublished":"2024-05-12T09:47:38.835Z","dateModified":"2024-05-12T09:47:37.294Z","description":"A comprehensive analysis of Large Language Model (LLM) tokenizers is presented, focusing on the detection of untrained and under-trained tokens. 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