Welcome to the first edition of NLU Updates | Unique language model expertise strengthens Swedish and European independence | Sustainable data strategies for natural language understanding
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NOVEMBER 2025

 

Architecting Digital Sovereignty


We are pleased to welcome you to this first newsletter from the Natural Language Understanding (NLU) team at AI Sweden to provide our community of researchers, developers, data managers, and applied AI professionals with technical insights into our ongoing work.

 

In this first edition, we share updates on our work with OpenEuroLLM and an interview with our Senior Data Lead, Danila Petrelli. On November 19, we host a seminar where she will talk more about data at AI Sweden's Stockholm office. Find links to this and other upcoming events at the end of the newsletter. 

 

 

From National Models to European Flagship Projects

 

The NLU team has been actively engaged in LLM construction and research since 2021. Our initial high-profile work centered on the development of GPT-SW3, where the team was at the forefront of this large-scale model's creation.

 

Since then, we've significantly expanded both our internal capacity and our collaborations. Our model hub has expanded to over 40 models, containing both foundational base models and task-specific fine-tuned models.

 

Crucially, we've moved beyond focusing on isolated national projects to collaborating with fellow institutes and universities across Europe to build the next generation of large-scale language models within research projects such as TrustLLM and EuroLingua-GPT. 

 

Our ambition for the coming years is to disseminate knowledge and insights from the team's contributions to OpenEuroLLM, the EU’s flagship project, as well as other key initiatives we are participating in. 

 

AI Sweden's overarching goal is to accelerate the application of AI within Sweden for the benefit of our society, our competitiveness, and for everyone living in Sweden. Our team provides critical expertise in LLM architecture, high-performance computing (HPC) environments, development of large-scale LLMs, and critical development of data governance. Therefore, a priority is to establish transparency and advance the general understanding of this technology. By making model weights and training methodologies accessible, we aim to fortify Sweden’s and Europe's digital sovereignty and contribute to the democratization of language models on a broader scale.

 

 

    Personalporträtt-AI-Magnus Sahlgren-754680

    Magnus Sahlgren

    HEAD OF RESEARCH,
    NATURAL LANGUAGE UNDERSTANDING 

    Nina Ökvist

    HEAD OF NATURAL LANGUAGE UNDERSTANDING

    openeurollm-project-preview-en-2-2

    Unique language model expertise strengthens Swedish and European independence

     

    In the rapidly evolving landscape of artificial intelligence, control over key technologies is becoming synonymous with national and regional sovereignty. For both Sweden and Europe, ensuring the availability and mastery of large, open language models is no longer a technical preference—it's a strategic imperative.

     

    While commercial AI solutions certainly have their place, countless critical societal sectors require models that are open, transparent, and specifically developed in line with European values and regulations. This is essential for building public trust, ensuring security, and preventing undue dependency on external technology providers.

     

    Discover why this push for open-source, high-performing, and multilingual language models—backed by a Strategic Technologies for Europe Platform (STEP) designation—is critical for accelerating AI use across Europe, reducing dependence on external solutions, and building advanced, sovereign expertise right here in Sweden.

     

    Read the full article
    danila-petrelli-preview

    Danila Petrelli

    SENIOR DATA LEAD

    NATURAL LANGUAGE UNDERSTANDING

    Sustainable data strategies for natural language understanding

     

    Large language models are revolutionizing organizations, but a critical bottleneck is: sustainable data management.

     

    We sat down with Senior Data Lead Danila Petrelli who's a part of the NLU team to talk about her work, and her conclusion on the ethical, legal, and practical challenge posed by the data shortage. Read about why cross-EU collaboration is absolutely imperative, how Sweden can compete by focusing on Swedish-language use cases, and what concrete solutions are being explored, from synthetic data to harmonized interpretations of AI legislation.

     

    Read the interview with Danila

    Upcoming events

    Mutual Reinforcement of Ethics and Trust in AI - Deep dive

    Mutual Reinforcement of Ethics and Trust in AI - Deep Dive

    November 19, 08.45-11.45 CET+1

     

    AI Sweden's office
    Folkungagatan 44

    Read more & sign up

      Blueprints for Data-Driven Success Operationalizing AI in Practice

      From data to results - how to take AI from idea to reality

      November 25, 13.00-17.00 CET+1

       

      Online

      Read more & sign up

        All events at AI Sweden

        Namnlös design-Oct-20-2025-04-12-06-9729-PM

        Help shape the Responsible AI Knowledge Hub

         

        AI Sweden recently launched the Responsible AI Knowledge Hub, a new national platform designed to help organizations identify and adopt tools and resources for developing and utilizing AI responsibly. We invite the ecosystem to contribute, and are especially looking for contributions of technical tools and best practice. 

         

        Contribute

        Latest publications and releases

        Explore more from the NLU team:

         

        → Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models

        → CASP: An Evaluation Dataset for Formal Verification of C Code

        →  Better Embeddings with Coupled Adam

        →  Culture, Language, and Generative Language Models

        → Swedish skolprov benchmark

        Interested in learning more about the NLU team and our projects?

        Read more

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