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card__bg--tablet-featured gradient-transition"> <div class="card__bg__pattern-wrapper"> <svg class="card__bg__pattern" width="100%" height="100%"> <filter id="roughpaper-17546-7479" class="filter-roughpaper" x="0%" y="0%" width="100%" height="100%"> <feTurbulence baseFrequency="0.004" seed="10" result="noise" /> <feDiffuseLighting in="noise" lighting-color="white" surfaceScale="3.5"> <feDistantLight azimuth="140" elevation="8" /> </feDiffuseLighting> </filter> <rect x="0" y="0" width="100%" height="100%" filter="url(#roughpaper-17546-7479)" fill="none" /> </svg> </div> </div> <div class="card__content flex flex-col card__content-no-slide"> <div class="card__content__header flex flex-wrap items-center"> <div class="post-info-wrapper flex flex-wrap items-center gap-2"> <a class="card__content__button button button--outline" href="https://the-decoder.de/kuenstliche-intelligenz-news/ki-praxis/" rel="category tag">KI in der Praxis</a> <div class="card__content__date"><span class="posted-on"><time class="entry-date published updated" datetime="2023-08-18T19:33:30+02:00">18. August 2023</time></span></div> </div> </div> <div class="card__content__author"> <a href="https://the-decoder.de/author/matthias-bastian/"> <img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIzMCIgaGVpZ2h0PSIzMCIgdmlld0JveD0iMCAwIDMwIDMwIj48cmVjdCB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIiBzdHlsZT0iZmlsbDojZjJmMmYyO2ZpbGwtb3BhY2l0eTogMC4xOyIvPjwvc3ZnPg==" alt='' data-src='/resources/images/avatar_matthias_bastian.jpg' data-srcset='/resources/images/avatar_matthias_bastian.jpg 2x' class='avatar avatar-30 photo' height='30' width='30' decoding='async'/> <span>Matthias Bastian</span> </a> </div><h1 class="card__content__title">LLM-Vergleich zwischen GPT-4, Claude 2 und Llama 2 - wer halluziniert, wer relativiert?</h1> <div class="card__content__img"> <div class="card__content__img__copyright"> <div class="card__content__img__copyright__text">Midjourney prompted by THE DECODER</div> </div> <div class="post-thumbnail"> <picture> <source media="(min-width:1200px)" srcset="https://the-decoder.de/wp-content/uploads/2023/08/robot_racing-1200x673.png"> <source media="(min-width:700px)" srcset="https://the-decoder.de/wp-content/uploads/2023/08/robot_racing-770x432.png 1x, https://the-decoder.de/wp-content/uploads/2023/08/robot_racing-1200x673.png 2x"> <source media="(min-width:376px)" srcset="https://the-decoder.de/wp-content/uploads/2023/08/robot_racing-770x432.png"> <img src="https://the-decoder.de/wp-content/uploads/2023/08/robot_racing.png" data-no-lazy="1" alt="LLM-Vergleich zwischen GPT-4, Claude 2 und Llama 2 - wer halluziniert, wer relativiert?" width="1456" height="816"> </picture> </div> </div> </div> <div class="card__side"> <div class="card__side__content "> <div class="author-decoder"> <div class="author-decoder__icons flex items-center gap-2"> <a href="https://the-decoder.de/author/matthias-bastian/" aria-label="Author Avatar"><img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2MCIgaGVpZ2h0PSI2MCIgdmlld0JveD0iMCAwIDYwIDYwIj48cmVjdCB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIiBzdHlsZT0iZmlsbDojZjJmMmYyO2ZpbGwtb3BhY2l0eTogMC4xOyIvPjwvc3ZnPg==" alt='' data-src='/resources/images/avatar_matthias_bastian.jpg' data-srcset='/resources/images/avatar_matthias_bastian.jpg 2x' class='avatar avatar-60 photo' height='60' width='60' decoding='async'/></a> <div> <div class="author-decoder__info__name flex items-center"><a href="https://the-decoder.de/author/matthias-bastian/">Matthias Bastian</a></div> <div class="author-decoder__icons__sozial"> <span class="author-social flex gap-1"> <a href="https://www.linkedin.com/in/matthias-bastian-128b71b1/" title="LinkedIn"> <svg class="switch" width="20" height="20" viewBox="0 0 125 125" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <path d="M62.5 0C96.995 0 125 28.005 125 62.5c0 34.495-28.005 62.5-62.5 62.5C28.005 125 0 96.995 0 62.5 0 28.005 28.005 0 62.5 0Zm39.931 98.958H86.735V72.225c0-7.329-2.785-11.425-8.586-11.425-6.311 0-9.609 4.262-9.609 11.425v26.733H53.414V48.032H68.54v6.86s4.548-8.415 15.355-8.415c10.802 0 18.536 6.596 18.536 20.238v32.243Zm-74.872 0h15.772V48.032H27.559v50.926Zm7.81-57.594c-5.152 0-9.327-4.208-9.327-9.397 0-5.19 4.175-9.398 9.327-9.398s9.325 4.208 9.325 9.398c0 5.189-4.173 9.397-9.325 9.397Z" fill="#28293d" /> </svg> </a> </span> </div> </div> </div> <div class="author-decoder__infos"> <div class="author-decoder__info__description">Online-Journalist Matthias ist Gr眉nder und Herausgeber von THE DECODER. Er ist davon 眉berzeugt, dass K眉nstliche Intelligenz die Beziehung zwischen Mensch und Computer grundlegend ver盲ndern wird.</div> <div class="flex items-center gap-2"> <a class="button button--filled" href="https://the-decoder.de/author/matthias-bastian/">Profil</a> <div class="author-decoder__info__icons flex items-center gap-1"> <a href="mailto:matthias@the-decoder.com" title="Email">E-Mail</a> <a href="https://deep-content.io" title="Homepage" target="_blank" rel="noopener">Website</a> </div> </div> </div> </div> </div> </div> </div> <div class="entry-content"> <div class="article-menu-wrapper"> <div class="article-menu-wrapper-inner"> <div class="article-menu-bg"></div> <div id="reading-progress-fill" class="gradient-transition"></div> <div class="article-menu gradient-transition"> <div id="article-menu__toc" class="article-menu__toc flex items-center gap-1"> <svg width="20" height="24" viewBox="0 0 84 98" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" 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7.374.461 3.073 1.229 10.601-.614 17.667-.615 1.691.614 3.534 2.457 3.995h.001ZM21.97 8.297a4.132 4.132 0 0 0 4.148-4.149A4.13 4.13 0 0 0 21.97 0a4.13 4.13 0 0 0-4.148 4.148 4.132 4.132 0 0 0 4.148 4.149Zm18.128 0a4.132 4.132 0 0 0 4.148-4.149A4.13 4.13 0 0 0 40.098 0a4.13 4.13 0 0 0-4.148 4.148 4.133 4.133 0 0 0 4.148 4.149Zm-35.949 0a4.132 4.132 0 0 0 4.148-4.149A4.13 4.13 0 0 0 4.149 0 4.132 4.132 0 0 0 0 4.148a4.133 4.133 0 0 0 4.149 4.149ZM21.97 25.042a4.13 4.13 0 0 0 4.148-4.148 4.132 4.132 0 0 0-4.148-4.149 4.132 4.132 0 0 0-4.148 4.149 4.13 4.13 0 0 0 4.148 4.148Zm18.128 0a4.13 4.13 0 0 0 4.148-4.148 4.132 4.132 0 0 0-4.148-4.149 4.132 4.132 0 0 0-4.149 4.149 4.133 4.133 0 0 0 4.149 4.148Zm-35.95 0a4.132 4.132 0 0 0 4.149-4.148 4.132 4.132 0 0 0-4.149-4.149A4.132 4.132 0 0 0 0 20.894a4.13 4.13 0 0 0 4.148 4.148ZM21.97 41.787a4.13 4.13 0 0 0 4.148-4.148 4.13 4.13 0 0 0-4.148-4.148 4.132 4.132 0 0 0-4.149 4.148 4.132 4.132 0 0 0 4.149 4.148Zm-17.822 0a4.132 4.132 0 0 0 4.149-4.148 4.132 4.132 0 0 0-4.149-4.148A4.13 4.13 0 0 0 0 37.639a4.13 4.13 0 0 0 4.148 4.148ZM21.97 58.379a4.13 4.13 0 0 0 4.148-4.148 4.13 4.13 0 0 0-4.148-4.148 4.132 4.132 0 0 0-4.149 4.148 4.132 4.132 0 0 0 4.149 4.148Z" fill="#fbfbfb" fill-rule="nonzero" /> </svg> <span>Inhalt</span> </div> <svg class="article-menu__content__bg-pattern" width="100%" height="100%"> <filter id="roughpaper-17546" class="filter-roughpaper" x="0%" y="0%" width="100%" height="100%"> <feTurbulence baseFrequency="0.004" seed="10" result="noise" /> <feDiffuseLighting in="noise" lighting-color="white" surfaceScale="3.5"> <feDistantLight azimuth="140" elevation="8" /> </feDiffuseLighting> </filter> <rect x="0" y="0" width="100%" height="100%" filter="url(#roughpaper-17546)" fill="none" /> </svg> <div class="article-menu__content web-share flex justify-center items-center"> <a class="article-menu__content__link" href="#summary"> <img src="https://the-decoder.de/resources/icons/summary.svg" alt="summary" width="27" height="24" data-no-lazy="1"> <span>Zusammenfassung</span> </a> </div> </div> </div> </div> <div class="entry-content__content-side"></div> <p><strong>Der auf LLM-Benchmarking spezialisierte Dienst "Arthur" hat die Leistung großer Sprachmodelle wie GPT-4 für zwei Schlüsselthemen verglichen.</strong></p><div class="mobile-view"><div class="ad-notice">Anzeige</div> <div class="ad-row"> <div class="ad-container ad-m ad-feed" style="min-height: 600px;"> <div id="DEC_M_Incontent-1" class="ad-m ad-feed"></div> </div> </div> </div> <p>Arthur analysierte die Halluzinationen und Antwortrelativierungen der Sprachmodelle <a href="https://the-decoder.de/openais-neue-gpt-3-version-generiert-bessere-und-laengere-texte/">GPT-3.5</a> (~175 Milliarden Parameter) und <a href="https://the-decoder.de/openais-gpt-4-ist-ein-sichereres-und-nuetzlicheres-chatgpt/">GPT-4</a> (<a href="https://the-decoder.de/leaks-zeigen-gpt-4-architektur-datensaetze-kosten-und-mehr/">~1.76 Billionen Parameter</a>) von OpenAI, Claude 2 von Anthropic (Parameter unbekannt), Llama 2 (70 Milliarden Parameter) von Meta und des <a href="https://the-decoder.de/sprach-ki-millionen-invest-fuer-gpt-3-konkurrenz/">Command Modells von Cohere</a> (~50 Milliarden Parameter).</p> <p>Um die Halluzinationen zu vergleichen, <a target="_blank" rel="noopener" href="https://docs.google.com/spreadsheets/d/18lmKuOOpF1S6snpKXhVSYjEqIi-WzZ0uzQZIs-uHiDc/edit#gid=797379170">stellte Arthur Fragen</a> zur Kombinatorik und Wahrscheinlichkeitsrechnung, zu US-Präsidenten und zu politischen Führern in Marokko. Die Fragen wurden mehrmals gestellt, da die Sprachmodelle manchmal die richtige, manchmal eine leicht falsche oder eine völlig falsche Antwort auf dieselbe Frage gaben.</p> <div class="content-img-side flex items-center gap-3"><figure id="attachment_17550" aria-describedby="caption-attachment-17550" style="width: 770px" class="wp-caption alignnone"><a href="https://the-decoder.de/wp-content/uploads/2023/08/combination_llm.png"><img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NzAiIGhlaWdodD0iNTEzIiB2aWV3Qm94PSIwIDAgNzcwIDUxMyI+PHJlY3Qgd2lkdGg9IjEwMCUiIGhlaWdodD0iMTAwJSIgc3R5bGU9ImZpbGw6I2YyZjJmMjtmaWxsLW9wYWNpdHk6IDAuMTsiLz48L3N2Zz4=" fetchpriority="high" decoding="async" class="wp-image-17550 size-medium" data-src="https://the-decoder.de/wp-content/uploads/2023/08/combination_llm-770x513.png" alt="" width="770" height="513"></a><figcaption id="caption-attachment-17550" class="wp-caption-text">Bild: arthur.ai</figcaption></figure> <div class="share flex items-start gap-2"> <svg xmlns="http://www.w3.org/2000/svg" class="share__icon switch" width="40" viewBox="0 0 167 144" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <path d="m75.517 1.317 58.028 41.334c1.59 1.059 2.385 2.915 2.385 4.769 0 1.855-.795 3.709-2.385 4.768L75.517 94.055c-1.855 1.325-4.24 1.59-6.093.531-1.856-1.059-3.179-3.179-3.179-5.299V65.705c0-3.18 2.65-5.83 5.829-5.83s5.829 2.651 5.829 5.83v11.923l41.865-29.942-41.867-29.942v11.923c0 3.179-2.384 5.829-5.565 5.829-40.804 2.12-54.583 23.052-58.823 45.044 9.009-10.069 19.342-16.163 31.796-18.813 3.179-.795 6.359 1.325 7.154 4.504.795 3.179-1.325 6.36-4.504 7.155-10.864 2.384-23.582 7.683-36.83 31.265-1.059 1.855-3.179 2.915-5.035 2.915-.531 0-1.059 0-1.59-.265-2.65-.795-4.504-2.914-4.504-5.829 0-12.19 1.059-30.47 10.334-46.369C20.932 36.819 40.01 26.222 66.242 23.571V5.554c0-2.12 1.325-4.24 3.179-5.299 1.856-.528 4.24-.264 6.096 1.061v.001Zm91.149 136.723V48.481c0-3.179-2.65-5.829-5.829-5.829h-8.742c-3.179 0-5.83 2.65-5.83 5.829s2.651 5.829 5.83 5.829h2.65v77.636H55.647V90.611c0-3.179-2.65-5.829-5.829-5.829s-5.83 2.651-5.83 5.829v47.43c0 3.179 2.651 5.829 5.83 5.829h111.021c3.179.002 5.828-2.649 5.828-5.827l-.001-.003Z" fill="#28293d" fill-rule="nonzero"></path> </svg> <div> <div class="share__title">Artikel teilen</div> <div class="share__info">Empfiehl unseren Artikel weiter</div> <button class="web-share share__button button button--filled">Teilen</button> </div> </div></div> <p>Claude 2 hatte bei den Fragen zu den US-Präsidenten die wenigsten Halluzinationen bei mehr richtigen Antworten, schnitt also besser ab als GPT-4 und deutlich besser als <a class="mixed-keyword" href="https://the-decoder.de/openai-gpt-3-das-ist-die-derzeit-maechtigste-sprach-ki/">GPT-3</a>.5 Turbo, das ständig versagte. Letzteres ist insofern kritisch, als das kostenlose ChatGPT auf GPT-3.5 basiert und wahrscheinlich am häufigsten von Studierenden und in Schulen verwendet wird.</p><div class="mobile-view"><div class="ad-notice">Anzeige</div> <div class="ad-row"> <div class="ad-container ad-m ad-feed" style="min-height: 600px;"> <div id="DEC_M_Incontent-2" class="ad-m ad-feed"></div> </div> </div> </div><div class="desktop-view"><div class="ad-notice">Anzeige</div> <div class="ad-row"> <div class="ad-container ad ad-feed" style="min-height: 280px;"> <div id="DEC_D_Incontent-1" class="ad ad-feed"></div> </div> <div class="ad-feed-side"> <div class="newsletter newsletter--feed flex gap-2"> <svg class="newsletter__svg switch" width="40" height="38" viewbox="0 0 167 160" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <path d="M103.175 86.95c-5.101-5.101-12.187-7.937-19.558-7.937-7.37 0-14.173 2.835-19.559 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class="mailpoet_submit" value="Kostenlos abonnieren" data-automation-id="subscribe-submit-button" style="width:100%;box-sizing:border-box;padding:5px;margin: 0 auto 0 0;border-color:transparent;"><span class="mailpoet_form_loading"><span class="mailpoet_bounce1"></span><span class="mailpoet_bounce2"></span><span class="mailpoet_bounce3"></span></span></div> <div class="mailpoet_message"> <p class="mailpoet_validate_success" style="display:none;">Prüfen Sie Ihren Posteingang oder Spam-Ordner, um Ihr Abonnement zu bestätigen. </p> <p class="mailpoet_validate_error" style="display:none;"> </p> </div> </form> </div> </div> </div> </div> </div> </div> </div> <figure id="attachment_17549" aria-describedby="caption-attachment-17549" style="width: 770px" class="wp-caption alignnone"><a href="https://the-decoder.de/wp-content/uploads/2023/08/us_presidents_llm_benchmark.png"><img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NzAiIGhlaWdodD0iNTUzIiB2aWV3Qm94PSIwIDAgNzcwIDU1MyI+PHJlY3Qgd2lkdGg9IjEwMCUiIGhlaWdodD0iMTAwJSIgc3R5bGU9ImZpbGw6I2YyZjJmMjtmaWxsLW9wYWNpdHk6IDAuMTsiLz48L3N2Zz4=" decoding="async" class="wp-image-17549 size-medium" data-src="https://the-decoder.de/wp-content/uploads/2023/08/us_presidents_llm_benchmark-770x553.png" alt="" width="770" height="553"></a><figcaption id="caption-attachment-17549" class="wp-caption-text">Bild: arthur.ai</figcaption></figure> <p>Bei den marokkanischen Politikern verweigerten <a href="https://the-decoder.de/meta-stellt-kommerziell-nutzbares-open-source-llm-llama-2-vor/">Llama 2</a> und <a href="https://the-decoder.de/chatgpt-alternative-chatbot-claude-2-des-openai-rivalen-anthropic-geht-live/">Claude 2</a> besonders häufig die Antwort, wahrscheinlich als Gegenmaßnahme gegen zu starke Halluzinationen. Hier war GPT-4 das einzige Modell mit mehr richtigen Antworten als Halluzinationen.</p> <figure id="attachment_17551" aria-describedby="caption-attachment-17551" style="width: 770px" class="wp-caption alignnone"><a href="https://the-decoder.de/wp-content/uploads/2023/08/morocan_political_leaders_llm.png"><img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NzAiIGhlaWdodD0iNTM5IiB2aWV3Qm94PSIwIDAgNzcwIDUzOSI+PHJlY3Qgd2lkdGg9IjEwMCUiIGhlaWdodD0iMTAwJSIgc3R5bGU9ImZpbGw6I2YyZjJmMjtmaWxsLW9wYWNpdHk6IDAuMTsiLz48L3N2Zz4=" decoding="async" class="wp-image-17551 size-medium" data-src="https://the-decoder.de/wp-content/uploads/2023/08/morocan_political_leaders_llm-770x539.png" alt="" width="770" height="539"></a><figcaption id="caption-attachment-17551" class="wp-caption-text">Bild: arthur.ai</figcaption></figure> <h2>GPT-4 ist vorsichtiger als andere Modelle</h2> <p>In einem zweiten Test untersuchte die Benchmarking-Plattform, inwieweit die Modelle ihre Antworten absichern, also eine Warnung vor die Antwort setzen wie "Als großes Sprachmodell kann ich nicht ...". Dieses "Hedging" von Antworten kann die Benutzerinnen und Benutzer frustrieren. Außerdem findet man dieses "Hedging" manchmal in <a class="mixed-keyword" href="https://the-decoder.de/kuenstliche-intelligenz-begriffe-erklaerung/">KI</a>-generierten Texten von unvorsichtigen "Autoren".</p> <p>Für den Hedging-Test verwendete die Plattform <a target="_blank" rel="noopener" href="https://huggingface.co/datasets/databricks/databricks-dolly-15k">einen Datensatz mit generischen Fragen</a>, die Benutzerinnen und Benutzer an LLMs stellen könnten. Die beiden GPT-4-Modelle beantworteten diese Fragen in 3,3 bzw. 2,9 Prozent der Fälle. GPT-3.5 turbo und Claude-2 taten dies nur in etwa zwei Prozent der Fälle, während Cohere diesen Mechanismus nicht verwendet.</p><div class="mobile-view"><div class="ad-notice">Anzeige</div> <div class="ad-row"> <div class="ad-container ad-m ad-feed" style="min-height: 600px;"> <div id="DEC_M_Incontent-3" class="ad-m ad-feed"></div> </div> </div> </div><div class="desktop-view"><div class="ad-notice">Anzeige</div> <div class="ad-row"> <div class="ad-container ad ad-feed" style="min-height: 280px;"> <div id="DEC_D_Incontent-2" class="ad ad-feed"></div> </div> <div class="ad-feed-side"> <div class="community flex gap-2"> <svg class="community__svg switch" width="40" height="35.44" viewbox="0 0 167 145" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <path d="M59.427 135.123c.81-3.166 3.781-5.277 7.293-4.486 5.402 1.055 11.076 1.583 16.748 1.583 39.167 0 71.042-26.919 71.042-60.171 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6.268-6.268 0-3.418-2.85-6.268-6.268-6.268l-57.55.002c-8.261 0-15.1 6.838-15.1 15.1v107.977c0 8.262 6.838 15.1 15.1 15.1h108.262c8.261 0 15.1-6.838 15.1-15.1v-55.27c0-3.419-2.85-6.268-6.268-6.268-3.418 0-6.268 2.85-6.268 6.268v55.27a2.552 2.552 0 0 1-2.563 2.564H15.1a2.552 2.552 0 0 1-2.563-2.564V43.103c0-1.139 1.138-2.28 2.563-2.28v-.001Z" fill="#28293d" fill-rule="nonzero" /> </svg> <span>Zusammenfassung</span> </div> <div class="summary__text"><ul> <li>Arthur, ein LLM-Benchmarking-Service, verglich die Leistung gro脽er Sprachmodelle wie GPT-3.5, GPT-4, Llama-2, Claude-2 und das Command-Modell von Cohere in Bezug auf Halluzinationen und die Relativierung von Antworten.</li> <li>Claude-2 schnitt bei Fragen zu US-Pr盲sidenten am besten ab, mit den wenigsten Halluzinationen und mehr richtigen Antworten als GPT-4, w盲hrend GPT-4 bei Fragen zu marokkanischen Politikern am genauesten war.</li> <li>GPT-3.5, das Modell hinter dem kostenlosen ChatGPT, halluzinierte stark. GPT-4 ist vorsichtiger bei der Auswahl der Antworten und gibt h盲ufiger Warnungen aus.</li> </ul></div> </div> <div class="sources-wrapper flex items-center gap-1"> <div class="flex items-center">Quellen</div> <div class="sources__links flex flex-wrap gap-1"> <a class="button button--filled" target="_blank" rel="noopener" href="https://www.arthur.ai/gap-articles/hallucination-experiment">Hallucination Experiment</a> <a class="button button--filled" target="_blank" rel="noopener" href="https://www.arthur.ai/gap-articles/hedging-answers-experiment">Hedging Experiment</a> </div> </div> </div> <div> <div class="author-decoder"> <div class="author-decoder__icons flex items-center gap-2"> <a href="https://the-decoder.de/author/matthias-bastian/" aria-label="Author Avatar"><img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2MCIgaGVpZ2h0PSI2MCIgdmlld0JveD0iMCAwIDYwIDYwIj48cmVjdCB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIiBzdHlsZT0iZmlsbDojZjJmMmYyO2ZpbGwtb3BhY2l0eTogMC4xOyIvPjwvc3ZnPg==" alt='' data-src='/resources/images/avatar_matthias_bastian.jpg' data-srcset='/resources/images/avatar_matthias_bastian.jpg 2x' class='avatar avatar-60 photo' height='60' width='60' decoding='async'/></a> <div> <div class="author-decoder__info__name flex items-center"><a href="https://the-decoder.de/author/matthias-bastian/">Matthias Bastian</a></div> <div class="author-decoder__icons__sozial"> <span class="author-social flex gap-1"> <a href="https://www.linkedin.com/in/matthias-bastian-128b71b1/" title="LinkedIn"> <svg class="switch" width="20" height="20" viewBox="0 0 125 125" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <path d="M62.5 0C96.995 0 125 28.005 125 62.5c0 34.495-28.005 62.5-62.5 62.5C28.005 125 0 96.995 0 62.5 0 28.005 28.005 0 62.5 0Zm39.931 98.958H86.735V72.225c0-7.329-2.785-11.425-8.586-11.425-6.311 0-9.609 4.262-9.609 11.425v26.733H53.414V48.032H68.54v6.86s4.548-8.415 15.355-8.415c10.802 0 18.536 6.596 18.536 20.238v32.243Zm-74.872 0h15.772V48.032H27.559v50.926Zm7.81-57.594c-5.152 0-9.327-4.208-9.327-9.397 0-5.19 4.175-9.398 9.327-9.398s9.325 4.208 9.325 9.398c0 5.189-4.173 9.397-9.325 9.397Z" fill="#28293d" /> </svg> </a> </span> </div> </div> </div> <div class="author-decoder__infos"> <div class="author-decoder__info__description">Online-Journalist Matthias ist Gr眉nder und Herausgeber von THE DECODER. Er ist davon 眉berzeugt, dass K眉nstliche Intelligenz die Beziehung zwischen Mensch und Computer grundlegend ver盲ndern wird.</div> <div class="flex items-center gap-2"> <a class="button button--filled" href="https://the-decoder.de/author/matthias-bastian/">Profil</a> <div class="author-decoder__info__icons flex items-center gap-1"> <a href="mailto:matthias@the-decoder.com" title="Email">E-Mail</a> <a href="https://deep-content.io" title="Homepage" target="_blank" rel="noopener">Website</a> </div> </div> </div> </div> <div class="sources__share flex items-center"> <a class="web-share button--filled flex items-center gap-1" href="#"> <svg class="switch" width="20" height="17" viewBox="0 0 167 144" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <path d="m75.517 1.317 58.028 41.334c1.59 1.059 2.385 2.915 2.385 4.769 0 1.855-.795 3.709-2.385 4.768L75.517 94.055c-1.855 1.325-4.24 1.59-6.093.531-1.856-1.059-3.179-3.179-3.179-5.299V65.705c0-3.18 2.65-5.83 5.829-5.83s5.829 2.651 5.829 5.83v11.923l41.865-29.942-41.867-29.942v11.923c0 3.179-2.384 5.829-5.565 5.829-40.804 2.12-54.583 23.052-58.823 45.044 9.009-10.069 19.342-16.163 31.796-18.813 3.179-.795 6.359 1.325 7.154 4.504.795 3.179-1.325 6.36-4.504 7.155-10.864 2.384-23.582 7.683-36.83 31.265-1.059 1.855-3.179 2.915-5.035 2.915-.531 0-1.059 0-1.59-.265-2.65-.795-4.504-2.914-4.504-5.829 0-12.19 1.059-30.47 10.334-46.369C20.932 36.819 40.01 26.222 66.242 23.571V5.554c0-2.12 1.325-4.24 3.179-5.299 1.856-.528 4.24-.264 6.096 1.061v.001Zm91.149 136.723V48.481c0-3.179-2.65-5.829-5.829-5.829h-8.742c-3.179 0-5.83 2.65-5.83 5.829s2.651 5.829 5.83 5.829h2.65v77.636H55.647V90.611c0-3.179-2.65-5.829-5.829-5.829s-5.83 2.651-5.83 5.829v47.43c0 3.179 2.651 5.829 5.83 5.829h111.021c3.179.002 5.828-2.649 5.828-5.827l-.001-.003Z" fill="#28293d" fill-rule="nonzero" /> </svg> <span>Artikel teilen</span> </a> </div> </div> </div><div class="content-feed flex items-center"> <a class="content-feed__logo" href="https://the-decoder.de/" aria-label="The Decoder Logo"><svg class="logo" width="141" height="31" viewBox="0 0 584 130" xmlns="http://www.w3.org/2000/svg" xml:space="preserve" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2"> <g fill-rule="nonzero"> <path d="M78.495 119.522c0 2.123-.656 3.965-1.967 5.526-1.312 1.561-3.123 2.404-5.433 2.529l-27.352 1.124h-3.372c-5.682 0-10.928-1.108-15.736-3.325s-9.039-5.199-12.692-8.945c-3.653-3.747-6.557-8.056-8.711-12.927A37.332 37.332 0 0 1 0 88.236V69.783C0 64.6.968 59.667 2.904 54.984c1.936-4.684 4.558-8.805 7.868-12.365 3.31-3.559 7.181-6.4 11.615-8.523 4.434-2.124 9.336-3.185 14.706-3.185l9.461.374c2.372.125 4.261.953 5.666 2.483 1.406 1.53 2.108 3.45 2.108 5.76 0 2.498-.765 4.465-2.295 5.901-1.53 1.437-3.356 2.155-5.479 2.155l-7.775-.375h-.749c-2.935 0-5.699.593-8.29 1.78a20.951 20.951 0 0 0-6.744 4.871c-1.905 2.06-3.341 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class="entry-date published updated" datetime="2024-11-23T13:56:24+01:00">23. November 2024</time></span></div> </div> </div> <h2 class="card__content__title"><a class="card__content__link" href="https://the-decoder.de/us-gericht-bestaetigt-schule-darf-schueler-fuer-unerlaubte-ki-nutzung-bestrafen/" rel="bookmark">US-Gericht best盲tigt: Schule darf Sch眉ler f眉r unerlaubte KI-Nutzung bestrafen</a></h2> <div class="card__content__img"> <a class="post-thumbnail" href="https://the-decoder.de/us-gericht-bestaetigt-schule-darf-schueler-fuer-unerlaubte-ki-nutzung-bestrafen/" aria-hidden="true" tabindex="-1"> <picture> <source media="(min-width:768px)" srcset="https://the-decoder.de/wp-content/uploads/2024/11/classroom_chatgpt_work-770x432.png 1x, https://the-decoder.de/wp-content/uploads/2024/11/classroom_chatgpt_work-1200x673.png 2x"> <source media="(min-width:376px)" srcset="https://the-decoder.de/wp-content/uploads/2024/11/classroom_chatgpt_work-770x432.png"> <img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNDU2IiBoZWlnaHQ9IjgxNiIgdmlld0JveD0iMCAwIDE0NTYgODE2Ij48cmVjdCB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIiBzdHlsZT0iZmlsbDojZjJmMmYyO2ZpbGwtb3BhY2l0eTogMC4xOyIvPjwvc3ZnPg==" data-src="https://the-decoder.de/wp-content/uploads/2024/11/classroom_chatgpt_work-375x210.png" loading="lazy"alt="US-Gericht best盲tigt: Schule darf Sch眉ler f眉r unerlaubte KI-Nutzung bestrafen" width="1456" height="816"> </picture> </a> </div> </div> </div> <div class="card card--no-side"> <div class="card__bg card__bg--tablet-featured gradient-transition"> <div class="card__bg__pattern-wrapper"> <svg class="card__bg__pattern" width="100%" height="100%"> <filter id="roughpaper-33135-3164" class="filter-roughpaper" x="0%" y="0%" width="100%" height="100%"> <feTurbulence baseFrequency="0.004" seed="10" result="noise" /> <feDiffuseLighting in="noise" lighting-color="white" surfaceScale="3.5"> <feDistantLight azimuth="140" elevation="8" /> </feDiffuseLighting> </filter> <rect x="0" y="0" width="100%" height="100%" filter="url(#roughpaper-33135-3164)" fill="none" /> </svg> </div> </div> <div class="card__content flex flex-col card__content-no-slide"> <a class="link-overlay" href="https://the-decoder.de/studie-zeigt-ki-systeme-koennen-mehr-als-sie-ueber-prompts-preisgeben/" aria-label="Studie zeigt: KI-Systeme k枚nnen mehr als sie 眉ber Prompts preisgeben"></a> <div class="card__content__header flex flex-wrap items-center"> <div class="post-info-wrapper flex flex-wrap items-center gap-2"> <a class="card__content__button button button--outline" href="https://the-decoder.de/kuenstliche-intelligenz-news/ki-forschung/" rel="category tag">KI-Forschung</a> <div class="card__content__date"><span class="posted-on"><time class="entry-date published updated" datetime="2024-11-19T18:26:06+01:00">19. 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