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  • Europe’s Large Multilingual Vision-Language Models Hit the Stage

    "On June 10, 2025, Andre Martins, Head of Research at Language Solutions Integrator Unbabel, announced the release of a preview version of two large multilingual vision-language models (VLMs), EuroVLM-1.7B and EuroVLM-9B, developed in collaboration with Instituto Superior Técnico at the University of Lisbon.
    The models support 35 languages, including all 24 official EU languages, along with Arabic, Catalan, Chinese, Galician, Hindi, Japanese, Korean, Norwegian, Russian, Turkish, and Ukrainian.
    Built on EuroLLM — a multilingual text-only model — the new VLMs combine strong multilingual language understanding with vision encoding. This enables them to process images alongside text and perform a range of multilingual vision-language tasks, such as:

    Read the full study breakdown : https://slator.com/europes-large-multilingual-vision-language-models-hit-the-stage/

    Slator continues to lead the way in covering the latest breakthroughs in AI translation , machine learning, and translation management software. Stay ahead with trusted insights for linguists, tech innovators, and localization pros."

    #Europe #LargeLanguageModels #Unbabel #SlatorPod #SlatorCon #SlatorNews
    Europe’s Large Multilingual Vision-Language Models Hit the Stage "On June 10, 2025, Andre Martins, Head of Research at Language Solutions Integrator Unbabel, announced the release of a preview version of two large multilingual vision-language models (VLMs), EuroVLM-1.7B and EuroVLM-9B, developed in collaboration with Instituto Superior Técnico at the University of Lisbon. The models support 35 languages, including all 24 official EU languages, along with Arabic, Catalan, Chinese, Galician, Hindi, Japanese, Korean, Norwegian, Russian, Turkish, and Ukrainian. Built on EuroLLM — a multilingual text-only model — the new VLMs combine strong multilingual language understanding with vision encoding. This enables them to process images alongside text and perform a range of multilingual vision-language tasks, such as: Read the full study breakdown : https://slator.com/europes-large-multilingual-vision-language-models-hit-the-stage/ Slator continues to lead the way in covering the latest breakthroughs in AI translation , machine learning, and translation management software. Stay ahead with trusted insights for linguists, tech innovators, and localization pros." #Europe #LargeLanguageModels #Unbabel #SlatorPod #SlatorCon #SlatorNews
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  • How OpenAI’s O3-Mini and DeepSeek-R1 Are Shaping the Future of AI Translation Evaluation?

    "Can reasoning-enabled LLMs outperform traditional models in AI translation evaluation? A recent Slator article explores how Alibaba’s advancements in large reasoning models are driving innovation in the language tech space. Now, a new study by researchers from the University of Mannheim and the University of Technology Nuremberg dives deeper—testing whether next-gen models like OpenAI’s O3-Mini and DeepSeek-R1 offer superior capabilities in assessing machine translation quality.
    Researchers point out: “Most prior work focuses on non-reasoning LLMs. This study asks—do reasoning-powered LLMs truly evaluate translations better?”
    Read the full study breakdown: How Well Can OpenAI’s O3-Mini and DeepSeek-R1 Evaluate AI Translation?

    Slator continues to lead the way in covering the latest breakthroughs in AI translation, machine learning, and translation management software. Stay ahead with trusted insights for linguists, tech innovators, and localization pros.

    Subscribe now to stay updated on breakthroughs in #AItranslation, #LLMs, and more from the world of language technology."

    https://slator.com/how-well-can-openai-o3-mini-deepseek-r1-evaluate-ai-translation/

    #aitranslation #largelanguagemodels #deepseekr1 #openai #slatornews #languagetech #llm #neuralmt #translationevaluation #slatorpod
    How OpenAI’s O3-Mini and DeepSeek-R1 Are Shaping the Future of AI Translation Evaluation? "Can reasoning-enabled LLMs outperform traditional models in AI translation evaluation? A recent Slator article explores how Alibaba’s advancements in large reasoning models are driving innovation in the language tech space. Now, a new study by researchers from the University of Mannheim and the University of Technology Nuremberg dives deeper—testing whether next-gen models like OpenAI’s O3-Mini and DeepSeek-R1 offer superior capabilities in assessing machine translation quality. Researchers point out: “Most prior work focuses on non-reasoning LLMs. This study asks—do reasoning-powered LLMs truly evaluate translations better?” Read the full study breakdown: How Well Can OpenAI’s O3-Mini and DeepSeek-R1 Evaluate AI Translation? Slator continues to lead the way in covering the latest breakthroughs in AI translation, machine learning, and translation management software. Stay ahead with trusted insights for linguists, tech innovators, and localization pros. Subscribe now to stay updated on breakthroughs in #AItranslation, #LLMs, and more from the world of language technology." https://slator.com/how-well-can-openai-o3-mini-deepseek-r1-evaluate-ai-translation/ #aitranslation #largelanguagemodels #deepseekr1 #openai #slatornews #languagetech #llm #neuralmt #translationevaluation #slatorpod
    0 Commentarios ·0 Acciones ·200 Views ·0 Vista previa
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