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Common licenses include the GNU General Public License (GPL) and the MIT License.\n\nUsers get several benefits from using open-source software including flexibility, community support, and cost savings. Since many open-source solutions are available at no cost, this reduces software acquisition and licensing expenses for individuals and organizations.\n","open-source",[],{"id":1882,"status":5,"owner":1874,"created_on":1875,"title":1883,"excerpt":1884,"content":1885,"slug":1886,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1887},185,"Large Language Model (LLM)","A neural network that has absorbed and analyzed vast amounts of data and can produce text based on them.","A Large Language Model (LLM) is nothing but a type of Artificial Intelligence (AI) designed to understand and generate human language. These models are trained on vast amounts of text data and utilize machine learning techniques to perform a variety of language-related tasks by synthesizing information and answering to queries.\n\nLLMs are essential in Natural Language Processing (NLP) projects as they help in automating tasks such as text generation, translation, summarization, and more. Each LLM typically represents a sophisticated algorithm capable of producing human-like text based on the patterns it has learned from the training data.\n\n## 🤖 Key points about LLMs: \n\n* Some of the most well-known LLMs include OpenAI's GPT-4, Google's Gemini, and Facebook's RoBERTa.\n* LLMs are used in chatbots, virtual assistants, content creation, and language translation tools.\n* The effectiveness of an LLM depends on the quality and diversity of the text data it has been trained on.\n* The performance of LLMs is measured by their ability to generate coherent, contextually relevant, and grammatically correct text among others.\n* The development and deployment of LLMs raise ethical concerns related to bias, misinformation, and the impact on employment.\n\nUnlike basic language processing tools, LLMs are supposed to understand context, generate nuanced responses, and perform a variety of complex language tasks. Technologies like [Human-Assisted Machine Translation (HAMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhuman-assisted-mt) often integrate LLMs to achieve higher quality and more natural results.\n\n> *Learn more about LLMs and what they are able to do in the translation realm [in our blog](https:\u002F\u002Flocalazy.com\u002Ftags\u002Fai\u002F \"https:\u002F\u002Flocalazy.com\u002Ftags\u002Fai\u002F\").*","llm",[1888,1891,1894,1897,1900],{"id":1889,"slug":1890},169,"ai-powered-translation",{"id":1892,"slug":1893},293,"natural-language-processing-nlp",{"id":1895,"slug":1896},304,"language-modeling",{"id":1898,"slug":1899},439,"tiny-language-model-tlm",{"id":1901,"slug":1902},440,"small-language-model-slm",{"id":1904,"status":5,"owner":1874,"created_on":1875,"title":1905,"excerpt":1906,"content":1907,"slug":1908,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1909},189,"Neural Machine Translation (NMT)","A type of automated translation that uses artificial neural networks to predict the likelihood of a sequence of words, producing translations fast.\n","Neural Machine Translation (NMT) is an advanced approach to automated translation that uses artificial neural networks to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.\n\nNMT is a key component in the field of [machine translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation) and represents a significant advancement in [AI-powered translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fai-powered-translation) technology.\n\nUnlike earlier statistical methods, NMT can capture context and nuances in language, often resulting in more fluent and contextually appropriate translations.\n\n## 🧠 Key points about NMT:\n\n* NMT utilizes deep learning techniques, particularly Recurrent Neural Networks (RNNs) and transformers, to model the translation process. These systems learn to translate directly from source to target language without relying on extensive feature engineering.\n* While initially challenged by rare words, techniques like subword tokenization have improved NMT's ability to handle diverse vocabularies. NMT models can consider the entire input sentence, allowing for better handling of context and long-range dependencies.\n* Training NMT models typically requires significant computational resources and large parallel corpora.\n* Many NMT models incorporate attention mechanisms, allowing the system to focus on relevant parts of the input sentence when generating each word of the translation.\n* Pre-trained NMT models can be adapted to new language pairs or domains, reducing the need for extensive language-specific data.\n* Some models are trained on multiple language pairs simultaneously, enabling zero-shot translation between language pairs not seen during training.\n\nNMT has significantly improved the quality of machine translation across many language pairs and continues to be a primary focus of research and development in the field of AI-powered language technologies.","neural-machine-translation",[1910,1911,1913,1914,1917,1920],{"id":71,"slug":1469},{"id":251,"slug":1912},"machine-learning-ml",{"id":1889,"slug":1890},{"id":1915,"slug":1916},186,"statistical-machine-translation",{"id":1918,"slug":1919},187,"example-based-machine-translation",{"id":1921,"slug":1922},188,"hybrid-machine-translation",{"id":1889,"status":5,"owner":1924,"created_on":1925,"title":1926,"excerpt":1927,"content":1928,"slug":1890,"meta_title":1171,"meta_description":1171,"canonical":1171,"related_terms":1929},"d8c4ae49-7239-4b85-abb6-d1fa80ba09ad","2024-07-11T05:52:24.000Z","AI-powered translation","A type of automated translation that leverages artificial intelligence and machine learning technologies to automatically translate content from one language to another.","This approach enhances the speed and accuracy of translations by continuously learning and improving from large datasets.\n\n**AI-powered translation** is a subset of [Machine Translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation) closely related to [neural networks](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F\") that has evolved significantly with the advancements in AI. These technologies are crucial in handling large volumes of text quickly and efficiently, making them indispensable in modern translation workflows.\n\n> *For the latest insights and developments in AI-powered translation, explore our [AI-related blog articles](https:\u002F\u002Flocalazy.com\u002Ftags\u002Fai).*",[1930,1931],{"id":71,"slug":1469},{"id":1904,"slug":1908},"A new competitor has emerged in the LLM landscape. It promises high-accuracy translation results for underrepresented European languages, alignment with the EU AI Act, and open access, but — how does EuroLLM really perform? We put it to the test.","\u003Cp>New LLMs pop up like mushrooms after the rain. 🍄\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fchatgpt.com\">ChatGPT\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fclaude.ai\">Claude\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fgemini.google.com\">Gemini\u003C\u002Fa> are not the only players in the spotlight. From \u003Ca href=\"https:\u002F\u002Fchat.deepseek.com\u002Fsign_in\">Deepseek\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Fbigscience.huggingface.co\u002Fblog\u002Fbloom\">Bloom\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fai.google.dev\u002Fgemma\">Gemma 3\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fmanu\u002Fcroissant-llm-blog\">CroissantLLM\u003C\u002Fa>\u003Cstrong> —\u003C\u002Fstrong> new open-source LLMs tempt curious users around every corner.\u003C\u002Fp>\u003Cp>Recently, \u003Ca href=\"https:\u002F\u002Fsites.google.com\u002Fview\u002Feurollm\u002Fhome\">\u003Cstrong>EuroLLM\u003C\u002Fstrong>\u003C\u002Fa> joined the game, too. This European language model was developed as an open-source alternative to the US-focused giants. ChatGPT & co usually work well for English but \u003Cstrong>tend to struggle with high accuracy and cultural sensitivity in less common languages\u003C\u002Fstrong>. That's where this initiative comes in.\u003C\u002Fp>\u003Cp>It strives to shift attention from the dominant US English toward underrepresented European languages while promoting diversity, equality, and open access. This noble mission also inspired another AI project called \u003Ca href=\"https:\u002F\u002Fopeneurollm.eu\">OpenEuroLLM\u003C\u002Fa>, which has been recently announced.\u003C\u002Fp>\u003Cp>Trained on European datasets, \u003Cstrong>the model promises strong cultural adaptation and native fluency in 24 official European languages\u003C\u002Fstrong>. It also aims to outperform US-centric models in areas such as gender neutrality, \u003Cstrong>alignment with EU regulations\u003C\u002Fstrong> (such as the EU AI Act), accurate idiomatic expressions, and sensitivity to local spelling and formal\u002Finformal nuances.\u003C\u002Fp>\u003Cp>These are the model's big promises. \u003C\u002Fp>\u003Cp>Does it live up to them?\u003C\u002Fp>\u003Cp>It's time to put EuroLLM's capabilities to the test.\u003C\u002Fp>\u003Cblockquote>🔦 Looking for a comparison that includes a bigger set of LLMs? Check out \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fthe-great-llm-translation-war-a-comparison-of-the-hottest-ai-models\">our global analysis\u003C\u002Fa> including seven different AI models\u003C\u002Fblockquote>\u003Ch2 id=\"the-rules-of-the-game\">👾 The rules of the game \u003Ca class=\"markdownit-header-anchor\" href=\"#the-rules-of-the-game\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>\u003Cstrong>Four languages, three text types, one task\u003C\u002Fstrong>. That's our test in a nutshell.\u003C\u002Fp>\u003Cp>We'll find out how the model translates marketing copy, user manuals, and simple conversation. All these experiments will be performed in \u003Cstrong>four language combinations\u003C\u002Fstrong>:\u003C\u002Fp>\u003Cul>\u003Cli>🇵🇱 English to \u003Cstrong>Polish\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>🇪🇸 English to \u003Cstrong>Spanish\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>🇨🇿 English to \u003Cstrong>Czech\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>🇬🇷 English to \u003Cstrong>Greek\u003C\u002Fstrong>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Next, we'll feed the same prompts with the same source texts and languages to ChatGPT to compare the results. \u003Cstrong>All translations will be evaluated by professional linguists \u003C\u002Fstrong>based on the following metrics:\u003C\u002Fp>\u003Cul>\u003Cli>1️⃣\u003Cstrong> Fluency\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>2️⃣ Accuracy\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>3️⃣ Cultural adaptation\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>4️⃣  Consistency in long texts\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>5️⃣ Handling of gender-neutral language\u003C\u002Fstrong>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>EuroLLM is available in two versions: \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Futter-project\u002FEuroLLM-1.7B\">EuroLLM-1.7B,\u003C\u002Fa> containing 1.7 billion parameters and introduced in September 2024, and \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Futter-project\u002FEuroLLM-9B-Instruct\">EuroLLM-9B\u003C\u002Fa>, released in December 2024. \u003Cstrong>We'll use the newest version and access it via Python\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>👩‍💻 The standard command to call for translation recommended on the model's page on HuggingFace will be spiced up by \u003Cstrong>three extra parameters\u003C\u002Fstrong>:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ccode>max_new_tokens=200\u003C\u002Fcode>: To ensure full translation in case the model decides to stop halfway.\u003C\u002Fli>\u003Cli>\u003Ccode>eos_token_id=tokenizer.eos_token_id\u003C\u002Fcode>: To tell the model to stop generating the content at a logical point. Otherwise, it keeps adding extra, unrelated text at the end of the output.\u003C\u002Fli>\u003Cli>\u003Ccode>do_sample=False\u003C\u002Fcode>: To ensure more consistency in translation.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>💬 Both EuroLLM and ChatGPT \u003Cstrong>will receive the same prompt\u003C\u002Fstrong> that highlights the test metrics:\u003C\u002Fp>\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">“\u003Cem>Translate the following English text into XYZ. Ensure that the translation is fluent, culturally appropriate, and maintains the original meaning\u003C\u002Fem>.”\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cp>📝 The source texts from three different categories will be the same for all languages and models:\u003C\u002Fp>\u003Ch3 id=\"general-text-conversation\">General text (conversation) \u003Ca class=\"markdownit-header-anchor\" href=\"#general-text-conversation\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>\u003Cem>\"Hey Alex, are you coming to the party tonight? Julia said she's bringing that new Spanish wine she got last week, and I heard it's amazing. Also, remember to bring some snacks. Last time, we ran out way too early! Oh, and don't forget, Lisa wants to talk to you about that job offer. She said it might be a great opportunity for you. Anyway, let me know what time you're planning to come, and if you need a ride, I can pick you up. Looking forward to it!\"\u003C\u002Fem>\u003C\u002Fp>\u003Ch3 id=\"technical-content-user-manual\">Technical content (user manual) \u003Ca class=\"markdownit-header-anchor\" href=\"#technical-content-user-manual\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>\u003Cem>\"\u003C\u002Fem>\u003Cstrong>\u003Cem>Device Setup Instructions\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>\u003Cbr>1. Unbox the device and ensure all components are included:\u003Cbr>- Main unit\u003Cbr>- Power adapter\u003Cbr>- User manual\u003Cbr>- USB cable\u003Cbr>2. Connect the power adapter to the device and plug it into a power outlet. The LED indicator should turn green. If it remains off, check the power source.\u003Cbr>3. Press and hold the power button for 3 seconds until the startup sound plays.\u003Cbr>4. To connect to Wi-Fi, navigate to \u003C\u002Fem>\u003Cstrong>\u003Cem>Settings > Network > Wi-Fi\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>. Select your network and enter the password.\u003Cbr>5. Download and install the companion app from the App Store or Google Play. Follow the on-screen instructions to complete the setup.\u003Cbr>6. If the device is unresponsive, reset it by holding the reset button for 10 seconds.\u003Cbr>\u003C\u002Fem>\u003Cstrong>\u003Cem>Warning:\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem> Do not expose the device to water or extreme temperatures.\u003Cbr>For troubleshooting, visit \u003C\u002Fem>\u003Cstrong>\u003Cem>www.support.example.com\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>.\"\u003C\u002Fem>\u003C\u002Fp>\u003Ch3 id=\"marketing-copy-slogans\">Marketing copy (slogans) \u003Ca class=\"markdownit-header-anchor\" href=\"#marketing-copy-slogans\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>\u003Cem>\"Unleash your potential with cutting-edge technology.\u003C\u002Fem> \u003Cem>Savor the taste of tradition in every bite. Designed for those who demand more. Your future, your way. Experience luxury, redefined. Innovation that moves you forward. Effortless style, undeniable confidence. Because you deserve the best. Power up your day with lasting energy. Where comfort meets performance. Crafted for perfection, built for life. Transform your space, transform your life. Timeless elegance for the modern world. Bold flavors, unforgettable experiences. Think smarter, live better. The ultimate upgrade for your lifestyle. More than a product, it's a statement. Quality you can trust, performance you can feel. Go beyond the ordinary. Excellence in every detail.\"\u003C\u002Fem>\u003C\u002Fp>\u003Cp>The text samples fall \u003Cstrong>within the 85-150 word range\u003C\u002Fstrong>. The idea is to test fluency and consistency beyond a single sentence.\u003C\u002Fp>\u003Cblockquote>\u003Cstrong>\u003Cem>Disclaimer: \u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>The translation quality assessments and comparisons presented in this article are based on a limited set of tests perfomed by language professionals and should not be considered exhaustive or definitive. Due to the broad range of potential test conditions and other constraints, our benchmarking efforts may not fully capture the capabilities of the models used in the test, which might be updated and improved in the near future. Our benchmarking criteria might also be limited.\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch2 id=\"the-grand-model-battle-in-overview\">🔍 The grand model battle in overview \u003Ca class=\"markdownit-header-anchor\" href=\"#the-grand-model-battle-in-overview\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Ch3 id=\"translating-informal-content-with-eurollm\">Translating informal content with EuroLLM   \u003Ca class=\"markdownit-header-anchor\" href=\"#translating-informal-content-with-eurollm\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>First comes the informal conversation. What can go wrong with such a short, innocent text?\u003C\u002Fp>\u003Cp>Nearly everything.\u003C\u002Fp>\u003Cp>\u003Cstrong>The conversation posed quite a big challenge for EuroLLM\u003C\u002Fstrong>. The translated texts contained grammar mistakes, awkward phrases, and mistranslations. \u003Cstrong>In every single language\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>🇬🇷 For example, \"Hey\" in Greek was translated as \"You said\":\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"713\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>The Spanish translation contained punctuation mistakes, such as missing upside-down exclamation marks:\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1909\" height=\"1061\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 1909w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>And both Polish and Czech versions included incorrectly inflected words in the phrase \"new Spanish wine\":\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1069\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>Not a great start for EuroLLM.\u003C\u002Fp>\u003Cp>Next up is the technical manual.\u003C\u002Fp>\u003Ch3 id=\"translating-technical-content-with-eurollm\">Translating technical content with EuroLLM \u003Ca class=\"markdownit-header-anchor\" href=\"#translating-technical-content-with-eurollm\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>You'd think this would be the easy part, right? Well, not quite.\u003C\u002Fp>\u003Cp>\u003Cstrong>EuroLLM dealt slightly better with this text\u003C\u002Fstrong>, although not without its fair share of hiccups. Across all language combinations, there were inconsistencies, mistranslations, and overly literal phrases. \u003C\u002Fp>\u003Cp>For example, in Spanish, the model mixed formal and informal tones:\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1914\" height=\"1093\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 1914w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>In Czech, it transformed the phrase \"the LED indicator should turn green\" into \"the LED indicator should remain turned off\":\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1074\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>In Greek, it chose the wrong term for \"password\", and in Polish, the translation of \"until the startup sound plays\" was so literal that it felt more robotic than the device being described:\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1914\" height=\"1050\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 1914w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FPL-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1088\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FPL-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FPL-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FPL-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FPL-text-2.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>That's not a perfect result either.\u003C\u002Fp>\u003Cp>What about the marketing copy?\u003C\u002Fp>\u003Ch3 id=\"translating-marketing-copy-with-eurollm\">Translating marketing copy with EuroLLM \u003Ca class=\"markdownit-header-anchor\" href=\"#translating-marketing-copy-with-eurollm\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>To put it mildly, creativity is not the strongest point of EuroLLM. As expected, \u003Cstrong>the marketing slogans were the biggest obstacle for the model\u003C\u002Fstrong>. The texts sounded very literal, contained numerous mistranslations, and kept some words in English (e.g., \"upgrade\" in Spanish or \"timeless elegance\" in Czech):\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1912\" height=\"1069\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 1912w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1082\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>As if this wasn't enough, \u003Cstrong>EuroLLM failed to deliver on one of its biggest promises: using local vocabulary\u003C\u002Fstrong>. For example, in Spanish, the model showed a tendency toward vocabulary and expressions closer to Latin American variants, rather than the Castilian Spanish from Spain (e.g., \"\u003Cem>desembala\u003C\u002Fem>\" vs \"\u003Cem>desempaqueta\u003C\u002Fem>\", \"\u003Cem>temprano\u003C\u002Fem>\" vs \"\u003Cem>pronto\u003C\u002Fem>\", the use of the simple past tense instead of the past perfect).\u003C\u002Fp>\u003Cp>Overall, EuroLLM \u003Cstrong>scored decent notes for gender-neutral language\u003C\u002Fstrong>, but accuracy, fluency, and consistency remain serious downsides.\u003C\u002Fp>\u003Ch3 id=\"how-does-eurollm-compare-to-chatgpt\">How does EuroLLM compare to ChatGPT? \u003Ca class=\"markdownit-header-anchor\" href=\"#how-does-eurollm-compare-to-chatgpt\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>In comparison, \u003Cstrong>ChatGPT scored the highest in nearly all categories\u003C\u002Fstrong>. It nailed the technical content, kept informal conversation sounding natural, and gracefully navigated the minefield of ambiguous marketing slogans across all languages. It managed to avoid mistranslations, overly literal phrases, and grammar and punctuation mistakes. \u003Cstrong>In Spanish,\u003C\u002Fstrong> \u003Cstrong>it even favored the Castilian locale, which EuroLLM failed to achieve\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>Below, you can see the metrics for all languages. In each case, \u003Cstrong>the metric is an average for three different texts\u003C\u002Fstrong>. This means that even if the model dealt well with the technical content, the overall fluency or accuracy is lower due to the poor results for informal or marketing texts.\u003C\u002Fp>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">24\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">1\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">10\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 1\u003C\u002Fstrong>. Results for translation into Czech.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">24\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">17\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 2\u003C\u002Fstrong>. Results for translation into Greek.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">20\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">1\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">16\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 3\u003C\u002Fstrong>. Results for translation into Polish.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">21\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">15\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 4\u003C\u002Fstrong>. Results for translation into Spanish.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Ch2 id=\"and-the-winner-is\">🥇 And the winner is… \u003Ca class=\"markdownit-header-anchor\" href=\"#and-the-winner-is\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>When I first heard of EuroLLM, my expectations were unreasonably high. Finally, a European open-source initiative bold enough to take on the US giants. 👏 Sure, prompting via Command Panel instead of a slick interface wasn't exactly user-friendly, but I was ready to put up with it in the name of groundbreaking results.\u003C\u002Fp>\u003Cp>But those never happened.\u003C\u002Fp>\u003Cp>\u003Cstrong>EuroLLM isn't bad. But it's not there yet, either\u003C\u002Fstrong>. The model still has a long way to go before it can genuinely rival the industry giants. As the Spanish test results showed, \u003Cstrong>EuroLLM doesn't always prioritize European vocabulary or cultural nuance\u003C\u002Fstrong>. It stumbles in other areas, too. The ambition is great, but for it's more of a work in progress than a game-changing solution — at least when it comes to translation.\u003C\u002Fp>\u003Cp>Hopefully, the model will improve with time, and one day it will offer a real, European-focused alternative. \u003Cstrong>Until then, the industry giants remain giants for a reason\u003C\u002Fstrong>, so if you're looking for an LLM-powered translation, turn your focus there.\u003C\u002Fp>",{"id":61,"status":5,"created_on":1935,"modified_on":1936,"icon":1937,"header":1938,"description":1939,"button_label":1940,"link":1941},"2022-03-17T12:23:03.000Z","2024-01-18T13:15:16.000Z","app","Try Localazy today","Start localizing your project today with our TMS! Enjoy localization on autopilot and order professional translation services, all from the same spot.","Register","register",{"slug":1860,"id":1853,"uuid":1943,"title":1859,"html":1944,"comment_id":1853,"feature_image":1862,"featured":163,"visibility":1945,"email_recipient_filter":1946,"created_at":1947,"updated_at":1861,"published_at":1861,"custom_excerpt":1932,"codeinjection_head":10,"codeinjection_foot":10,"custom_template":10,"canonical_url":10,"authors":1948,"tags":1954,"primary_author":2000,"primary_tag":2001,"url":2002,"excerpt":1932,"reading_time":53,"access":163,"send_email_when_published":162,"og_image":10,"og_title":10,"og_description":10,"twitter_image":10,"twitter_title":10,"twitter_description":10,"meta_title":10,"meta_description":10,"email_subject":10,"frontmatter":10,"dictionary":1871,"cta":1934,"plainTags":1863},"7a0ce073-5b55-4074-a6ec-a89d080f1338","\u003Cp>New LLMs pop up like mushrooms after the rain. 🍄\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fchatgpt.com\">ChatGPT\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fclaude.ai\">Claude\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fgemini.google.com\">Gemini\u003C\u002Fa> are not the only players in the spotlight. From \u003Ca href=\"https:\u002F\u002Fchat.deepseek.com\u002Fsign_in\">Deepseek\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Fbigscience.huggingface.co\u002Fblog\u002Fbloom\">Bloom\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fai.google.dev\u002Fgemma\">Gemma 3\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fmanu\u002Fcroissant-llm-blog\">CroissantLLM\u003C\u002Fa>\u003Cstrong> —\u003C\u002Fstrong> new open-source LLMs tempt curious users around every corner.\u003C\u002Fp>\u003Cp>Recently, \u003Ca href=\"https:\u002F\u002Fsites.google.com\u002Fview\u002Feurollm\u002Fhome\">\u003Cstrong>EuroLLM\u003C\u002Fstrong>\u003C\u002Fa> joined the game, too. This European language model was developed as an open-source alternative to the US-focused giants. ChatGPT & co usually work well for English but \u003Cstrong>tend to struggle with high accuracy and cultural sensitivity in less common languages\u003C\u002Fstrong>. That's where this initiative comes in.\u003C\u002Fp>\u003Cp>It strives to shift attention from the dominant US English toward underrepresented European languages while promoting diversity, equality, and open access. This noble mission also inspired another AI project called \u003Ca href=\"https:\u002F\u002Fopeneurollm.eu\">OpenEuroLLM\u003C\u002Fa>, which has been recently announced.\u003C\u002Fp>\u003Cp>Trained on European datasets, \u003Cstrong>the model promises strong cultural adaptation and native fluency in 24 official European languages\u003C\u002Fstrong>. It also aims to outperform US-centric models in areas such as gender neutrality, \u003Cstrong>alignment with EU regulations\u003C\u002Fstrong> (such as the EU AI Act), accurate idiomatic expressions, and sensitivity to local spelling and formal\u002Finformal nuances.\u003C\u002Fp>\u003Cp>These are the model's big promises. \u003C\u002Fp>\u003Cp>Does it live up to them?\u003C\u002Fp>\u003Cp>It's time to put EuroLLM's capabilities to the test.\u003C\u002Fp>\u003Cblockquote>🔦 Looking for a comparison that includes a bigger set of LLMs? Check out \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fthe-great-llm-translation-war-a-comparison-of-the-hottest-ai-models\">our global analysis\u003C\u002Fa> including seven different AI models\u003C\u002Fblockquote>\u003Ch2 id=\"%F0%9F%91%BE-the-rules-of-the-game\">👾 The rules of the game\u003C\u002Fh2>\u003Cp>\u003Cstrong>Four languages, three text types, one task\u003C\u002Fstrong>. That's our test in a nutshell.\u003C\u002Fp>\u003Cp>We'll find out how the model translates marketing copy, user manuals, and simple conversation. All these experiments will be performed in \u003Cstrong>four language combinations\u003C\u002Fstrong>:\u003C\u002Fp>\u003Cul>\u003Cli>🇵🇱 English to \u003Cstrong>Polish\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>🇪🇸 English to \u003Cstrong>Spanish\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>🇨🇿 English to \u003Cstrong>Czech\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>🇬🇷 English to \u003Cstrong>Greek\u003C\u002Fstrong>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Next, we'll feed the same prompts with the same source texts and languages to ChatGPT to compare the results. \u003Cstrong>All translations will be evaluated by professional linguists \u003C\u002Fstrong>based on the following metrics:\u003C\u002Fp>\u003Cul>\u003Cli>1️⃣\u003Cstrong> Fluency\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>2️⃣ Accuracy\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>3️⃣ Cultural adaptation\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>4️⃣  Consistency in long texts\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Cstrong>5️⃣ Handling of gender-neutral language\u003C\u002Fstrong>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>EuroLLM is available in two versions: \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Futter-project\u002FEuroLLM-1.7B\">EuroLLM-1.7B,\u003C\u002Fa> containing 1.7 billion parameters and introduced in September 2024, and \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Futter-project\u002FEuroLLM-9B-Instruct\">EuroLLM-9B\u003C\u002Fa>, released in December 2024. \u003Cstrong>We'll use the newest version and access it via Python\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>👩‍💻 The standard command to call for translation recommended on the model's page on HuggingFace will be spiced up by \u003Cstrong>three extra parameters\u003C\u002Fstrong>:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ccode>max_new_tokens=200\u003C\u002Fcode>: To ensure full translation in case the model decides to stop halfway.\u003C\u002Fli>\u003Cli>\u003Ccode>eos_token_id=tokenizer.eos_token_id\u003C\u002Fcode>: To tell the model to stop generating the content at a logical point. Otherwise, it keeps adding extra, unrelated text at the end of the output.\u003C\u002Fli>\u003Cli>\u003Ccode>do_sample=False\u003C\u002Fcode>: To ensure more consistency in translation.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>💬 Both EuroLLM and ChatGPT \u003Cstrong>will receive the same prompt\u003C\u002Fstrong> that highlights the test metrics:\u003C\u002Fp>\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">“\u003Cem>Translate the following English text into XYZ. Ensure that the translation is fluent, culturally appropriate, and maintains the original meaning\u003C\u002Fem>.”\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cp>📝 The source texts from three different categories will be the same for all languages and models:\u003C\u002Fp>\u003Ch3 id=\"general-text-conversation\">General text (conversation)\u003C\u002Fh3>\u003Cp>\u003Cem>\"Hey Alex, are you coming to the party tonight? Julia said she's bringing that new Spanish wine she got last week, and I heard it's amazing. Also, remember to bring some snacks. Last time, we ran out way too early! Oh, and don't forget, Lisa wants to talk to you about that job offer. She said it might be a great opportunity for you. Anyway, let me know what time you're planning to come, and if you need a ride, I can pick you up. Looking forward to it!\"\u003C\u002Fem>\u003C\u002Fp>\u003Ch3 id=\"technical-content-user-manual\">Technical content (user manual)\u003C\u002Fh3>\u003Cp>\u003Cem>\"\u003C\u002Fem>\u003Cstrong>\u003Cem>Device Setup Instructions\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>\u003Cbr>1. Unbox the device and ensure all components are included:\u003Cbr>- Main unit\u003Cbr>- Power adapter\u003Cbr>- User manual\u003Cbr>- USB cable\u003Cbr>2. Connect the power adapter to the device and plug it into a power outlet. The LED indicator should turn green. If it remains off, check the power source.\u003Cbr>3. Press and hold the power button for 3 seconds until the startup sound plays.\u003Cbr>4. To connect to Wi-Fi, navigate to \u003C\u002Fem>\u003Cstrong>\u003Cem>Settings > Network > Wi-Fi\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>. Select your network and enter the password.\u003Cbr>5. Download and install the companion app from the App Store or Google Play. Follow the on-screen instructions to complete the setup.\u003Cbr>6. If the device is unresponsive, reset it by holding the reset button for 10 seconds.\u003Cbr>\u003C\u002Fem>\u003Cstrong>\u003Cem>Warning:\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem> Do not expose the device to water or extreme temperatures.\u003Cbr>For troubleshooting, visit \u003C\u002Fem>\u003Cstrong>\u003Cem>www.support.example.com\u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>.\"\u003C\u002Fem>\u003C\u002Fp>\u003Ch3 id=\"marketing-copy-slogans\">Marketing copy (slogans)\u003C\u002Fh3>\u003Cp>\u003Cem>\"Unleash your potential with cutting-edge technology.\u003C\u002Fem> \u003Cem>Savor the taste of tradition in every bite. Designed for those who demand more. Your future, your way. Experience luxury, redefined. Innovation that moves you forward. Effortless style, undeniable confidence. Because you deserve the best. Power up your day with lasting energy. Where comfort meets performance. Crafted for perfection, built for life. Transform your space, transform your life. Timeless elegance for the modern world. Bold flavors, unforgettable experiences. Think smarter, live better. The ultimate upgrade for your lifestyle. More than a product, it's a statement. Quality you can trust, performance you can feel. Go beyond the ordinary. Excellence in every detail.\"\u003C\u002Fem>\u003C\u002Fp>\u003Cp>The text samples fall \u003Cstrong>within the 85-150 word range\u003C\u002Fstrong>. The idea is to test fluency and consistency beyond a single sentence.\u003C\u002Fp>\u003Cblockquote>\u003Cstrong>\u003Cem>Disclaimer: \u003C\u002Fem>\u003C\u002Fstrong>\u003Cem>The translation quality assessments and comparisons presented in this article are based on a limited set of tests perfomed by language professionals and should not be considered exhaustive or definitive. Due to the broad range of potential test conditions and other constraints, our benchmarking efforts may not fully capture the capabilities of the models used in the test, which might be updated and improved in the near future. Our benchmarking criteria might also be limited.\u003C\u002Fem>\u003C\u002Fblockquote>\u003Ch2 id=\"%F0%9F%94%8D-the-grand-model-battle-in-overview\">🔍 The grand model battle in overview\u003C\u002Fh2>\u003Ch3 id=\"translating-informal-content-with-eurollm\">Translating informal content with EuroLLM  \u003C\u002Fh3>\u003Cp>First comes the informal conversation. What can go wrong with such a short, innocent text?\u003C\u002Fp>\u003Cp>Nearly everything.\u003C\u002Fp>\u003Cp>\u003Cstrong>The conversation posed quite a big challenge for EuroLLM\u003C\u002Fstrong>. The translated texts contained grammar mistakes, awkward phrases, and mistranslations. \u003Cstrong>In every single language\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>🇬🇷 For example, \"Hey\" in Greek was translated as \"You said\":\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"713\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-1.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>The Spanish translation contained punctuation mistakes, such as missing upside-down exclamation marks:\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1909\" height=\"1061\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-1.png 1909w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>And both Polish and Czech versions included incorrectly inflected words in the phrase \"new Spanish wine\":\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1069\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Czech-text-1.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>Not a great start for EuroLLM.\u003C\u002Fp>\u003Cp>Next up is the technical manual.\u003C\u002Fp>\u003Ch3 id=\"translating-technical-content-with-eurollm\">Translating technical content with EuroLLM\u003C\u002Fh3>\u003Cp>You'd think this would be the easy part, right? Well, not quite.\u003C\u002Fp>\u003Cp>\u003Cstrong>EuroLLM dealt slightly better with this text\u003C\u002Fstrong>, although not without its fair share of hiccups. Across all language combinations, there were inconsistencies, mistranslations, and overly literal phrases. \u003C\u002Fp>\u003Cp>For example, in Spanish, the model mixed formal and informal tones:\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1914\" height=\"1093\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-2.png 1914w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>In Czech, it transformed the phrase \"the LED indicator should turn green\" into \"the LED indicator should remain turned off\":\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1074\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-2.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>In Greek, it chose the wrong term for \"password\", and in Polish, the translation of \"until the startup sound plays\" was so literal that it felt more robotic than the device being described:\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1914\" height=\"1050\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuro-LLM-Greek-text-2.png 1914w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FPL-text-2.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1088\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FPL-text-2.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FPL-text-2.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FPL-text-2.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FPL-text-2.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>That's not a perfect result either.\u003C\u002Fp>\u003Cp>What about the marketing copy?\u003C\u002Fp>\u003Ch3 id=\"translating-marketing-copy-with-eurollm\">Translating marketing copy with EuroLLM\u003C\u002Fh3>\u003Cp>To put it mildly, creativity is not the strongest point of EuroLLM. As expected, \u003Cstrong>the marketing slogans were the biggest obstacle for the model\u003C\u002Fstrong>. The texts sounded very literal, contained numerous mistranslations, and kept some words in English (e.g., \"upgrade\" in Spanish or \"timeless elegance\" in Czech):\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1912\" height=\"1069\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM--Czech-text-3.png 1912w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cfigure class=\"kg-card kg-image-card kg-width-wide\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1920\" height=\"1082\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1600\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 1600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2025\u002F03\u002FEuroLLM-Spanish-text-3.png 1920w\" sizes=\"(min-width: 1200px) 1200px\">\u003C\u002Ffigure>\u003Cp>As if this wasn't enough, \u003Cstrong>EuroLLM failed to deliver on one of its biggest promises: using local vocabulary\u003C\u002Fstrong>. For example, in Spanish, the model showed a tendency toward vocabulary and expressions closer to Latin American variants, rather than the Castilian Spanish from Spain (e.g., \"\u003Cem>desembala\u003C\u002Fem>\" vs \"\u003Cem>desempaqueta\u003C\u002Fem>\", \"\u003Cem>temprano\u003C\u002Fem>\" vs \"\u003Cem>pronto\u003C\u002Fem>\", the use of the simple past tense instead of the past perfect).\u003C\u002Fp>\u003Cp>Overall, EuroLLM \u003Cstrong>scored decent notes for gender-neutral language\u003C\u002Fstrong>, but accuracy, fluency, and consistency remain serious downsides.\u003C\u002Fp>\u003Ch3 id=\"how-does-eurollm-compare-to-chatgpt\">How does EuroLLM compare to ChatGPT?\u003C\u002Fh3>\u003Cp>In comparison, \u003Cstrong>ChatGPT scored the highest in nearly all categories\u003C\u002Fstrong>. It nailed the technical content, kept informal conversation sounding natural, and gracefully navigated the minefield of ambiguous marketing slogans across all languages. It managed to avoid mistranslations, overly literal phrases, and grammar and punctuation mistakes. \u003Cstrong>In Spanish,\u003C\u002Fstrong> \u003Cstrong>it even favored the Castilian locale, which EuroLLM failed to achieve\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>Below, you can see the metrics for all languages. In each case, \u003Cstrong>the metric is an average for three different texts\u003C\u002Fstrong>. This means that even if the model dealt well with the technical content, the overall fluency or accuracy is lower due to the poor results for informal or marketing texts.\u003C\u002Fp>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">24\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">1\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">10\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 1\u003C\u002Fstrong>. Results for translation into Czech.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">24\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">17\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 2\u003C\u002Fstrong>. Results for translation into Greek.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">20\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">1\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">16\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 3\u003C\u002Fstrong>. Results for translation into Polish.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C!--kg-card-begin: html-->\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth style=\"text-align: center\">\u003Cstrong>LLMs\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Consistency in  long texts\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Gender-neutral   language\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Cultural  adaptation\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Accuracy\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Fluency\u003C\u002Fstrong>\u003C\u002Fth>\n\u003Cth style=\"text-align: center\">\u003Cstrong>Total  Score\u003C\u002Fstrong>\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">ChatGPT\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">5\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">21\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd style=\"text-align: center\">EuroLLM\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">2\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">4\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">3\u003C\u002Ftd>\n\u003Ctd style=\"text-align: center\">15\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\u003C!--kg-card-end: html-->\u003Cdiv class=\"kg-card kg-callout-card kg-callout-card-grey\">\u003Cdiv class=\"kg-callout-text\">\u003Cstrong>Table 4\u003C\u002Fstrong>. Results for translation into Spanish.\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Ch2 id=\"%F0%9F%A5%87-and-the-winner-is%E2%80%A6\">🥇 And the winner is…\u003C\u002Fh2>\u003Cp>When I first heard of EuroLLM, my expectations were unreasonably high. Finally, a European open-source initiative bold enough to take on the US giants. 👏 Sure, prompting via Command Panel instead of a slick interface wasn't exactly user-friendly, but I was ready to put up with it in the name of groundbreaking results.\u003C\u002Fp>\u003Cp>But those never happened.\u003C\u002Fp>\u003Cp>\u003Cstrong>EuroLLM isn't bad. But it's not there yet, either\u003C\u002Fstrong>. The model still has a long way to go before it can genuinely rival the industry giants. As the Spanish test results showed, \u003Cstrong>EuroLLM doesn't always prioritize European vocabulary or cultural nuance\u003C\u002Fstrong>. It stumbles in other areas, too. The ambition is great, but for it's more of a work in progress than a game-changing solution — at least when it comes to translation.\u003C\u002Fp>\u003Cp>Hopefully, the model will improve with time, and one day it will offer a real, European-focused alternative. \u003Cstrong>Until then, the industry giants remain giants for a reason\u003C\u002Fstrong>, so if you're looking for an LLM-powered translation, turn your focus there.\u003C\u002Fp>","public","none","2025-03-22T14:44:21.000+01:00",[1949],{"id":1855,"name":1856,"slug":1857,"profile_image":1858,"cover_image":10,"bio":1950,"website":1951,"location":1952,"facebook":10,"twitter":10,"meta_title":10,"meta_description":10,"url":1953},"Localization consultant, prompt engineer, and translator specializing in IT. 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