AI model Openeurollm: Europe's AI secret weapon revealed-the exciting answer to Chatgpt and Deepseek

20 top institutions combined: language barriers adé? Openeeurollm really makes AI multilingual - a gamuchanger?

Openeeurollm is an exciting project that was launched as a European answer to the world's leading AI language models such as Chatgpt and Deepseek. This ambitious project combines the expertise of twenty -leading research institutions, companies and high -performance data centers in Europe to develop a voice model that is not only efficient, but also transparent, multilingual and adapted to the cultural and regulatory peculiarities of Europe.

The open approach of Openeurollm

Already in the beginning of the project, the focus was on creating an alternative to proprietary, often opaque AI systems. While models such as Chatgpt and Deepseek are often based on proprietary data and closed development processes, Openeeurollm follows the open approach from the start. "Transparency and openness are central values ​​on which the project is based," the developers who aim to make all aspects of development - from training data and algorithms to evaluation methods - to make them publicly accessible. This philosophy not only enables researchers and developers to actively contribute to further development, but also strengthens the trust of users in the technology.

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Multilinguality as a central feature

Another central feature of Openeurollm is the consistent orientation towards multilinguality. In a Europe that is characterized by linguistic and cultural diversity, the project relies on supporting all 24 official EU languages ​​and other languages ​​from candidate countries. A total of 35 languages ​​are to be covered, including languages ​​such as Arabic, Chinese, Hindi, Japanese, Korean, Russian and Turkish. This broadly created linguistic support is a crucial step to reduce language barriers and further integrate the European internal market. There is a particular focus on the quality of language processing, so that less widespread languages ​​- which are often neglected in natural language processing - are processed at a level that corresponds to the widespread languages ​​such as English.

Comparison with Chatgpt and Deepseek: Sustainable accessibility

Compared to Chatgpt and Deepseek, Openeeurollm is fundamentally different in several aspects. While Chatgpt is often based on paid models and Deepseek is in a phase of free access, Openeeurollm pursues the goal of ensuring sustainable and open accessibility in the long term. This cost structure is intended to ensure that European companies, public organizations and ultimately all interested users have access to the latest AI technology without relying on expensive proprietary solutions.

A transparent training approach

The training approach from Openeurollm also stands out significantly from other models. While Chatgpt uses extensive human feedback in the form of Reinforcement Learning with Human Feedback (RLHF) and Deepseek relies on a minimal human supervision, Openeeurollm is based on a transparent and collaborative development model. Cooperation with open source communities such as Laion, Open-Sci and OpenML is at the center of the project. This close cooperation should not only promote technical innovations, but also to develop ethical and cultural aspects.

Cultural adaptation and linguistic diversity

The peculiarity of the cultural adaptation is another important pillar of Openeeurollm. At a time when global voice models often take little consideration of the fine nuances of individual cultures and languages, the project attaches particular importance to ensuring cultural appropriateness. This means that not only the linguistic peculiarities, but also cultural contexts and peculiarities flow into the processing and interpretation of content. "Multilinguality, equality of language and voice transparency" are central principles that should help to preserve the linguistic diversity of Europe and at the same time democratize access to high-quality AI technologies.

Arms of resources and their challenges

The challenge of collecting sufficiently high -quality training data for less common languages ​​is recognized by Openeeurollm as well as a chance. The project is investing considerable resources in the construction and maintenance of data corpora, which are specially tailored to the needs of low -resource languages. The aim is to create a model that also reaches the same quality standards for languages ​​with complex morphological structures, such as Czech as for widespread languages. This ambition underlines the claim of the project not only being technologically, but also culturally and linguistically future -oriented.

European regulation as the basis

European regulation plays a central role in the development of Openeeurollm. In contrast to many international projects, the model is developed within the strict and at the same time innovative European regulatory framework. In particular, the so -called AI Act, which specifies Europe -wide ethical standards and guidelines for the use of artificial intelligence, is taken into account in every step of the project. This guarantees that Openeurollm is not only technologically leading, but also ethically and legally secured. Compliance with European values ​​and regulations creates trust and ensures that the model is used responsibly in different areas of application.

Democratization of AI technologies

The democratization of AI technologies is another leitmotif of the project. Due to the open source approach, the enormous potential of AI should not only be reserved for a few large companies, but should be made accessible to everyone. European companies, public institutions and research institutions benefit equally from the developed tools and technologies. This broadly created accessibility promotes the competitiveness of Europe and strengthens the digital sovereignty of the continent.

Structured cooperation within Europe

The organization and coordination of such an extensive project requires close cooperation between the partners involved. Openeeurollm is headed by Jan Hajič from the Karls University in Prague, while Peter Sarlin from AMD Silo Ai acts as co-manager. The participation of twenty leading European institutions underlines the pan -European character of the project and shows that the development of AI in Europe is a common undertaking. These institutions include renowned research institutions such as the Karls University Prague, the Ellis Institute Tübingen, the Fraunhofer IAIS and the Jülich research center. Likewise, important companies such as Alph Alpha and AMD Silo Ai as well as European high-performance calculation centers (EUROHPC centers) such as the Barcelona Supercomputing Center make a significant contribution to the implementation of the project.

Interdisciplinary collaboration and advice

The cooperation takes place in a structured and interdisciplinary manner. Universities and research institutions focus on the scientific foundations and innovations, while companies bring their expertise in practical implementation and market launch. The necessary computing power is provided by specialized EUROHPC centers that are equipped with the latest infrastructure. In addition, the project is supported by an Open Strategic Partnership Board, in which experts recognized worldwide such as Thomas Wolf von Huggingface and Colin Raffel, known by Eleutherai and the Vector Institute, are advisory. This strategic advice ensures that Openeeurollm always stays with the pulse of time and is based on the latest technological developments.

The funding from the European Commission

The promotion of the project by the European Commission as part of the Digital Europe Program underlines the importance of Openeeurollm for the digital future of Europe. With an initial financing of 56 million euros and the prospect of further funds by the partners involved, it becomes clear that the project plays a key role in the European AI landscape not only technologically, but also economically and strategically. Financial support allows developers to pursue long-term research and development projects, to test innovative approaches and to always maintain the ethical and regulatory standards.

Promotion of open science and open data

Another interesting aspect of Openeeurollm is the focus on promoting open science and open data. By disclosing all documentaries, source codes and training methods, an ecosystem is created in which knowledge is freely accessible and can be used for everyone interested. This transparency not only favors scientific progress, but also enables a continuous improvement of the model through feedback from the broad community. Scientists, developers and companies can thus flow directly into the further development and test new applications. This creates a dynamic platform on which technological innovation and social needs meet in an open dialogue.

Preservation of the cultural identity of Europe

In addition to the purely technological advances, it is a central concern of Openeeurollm to maintain the cultural identity of Europe. In an increasingly globalized world, in which large technology groups often offer standardized solutions, the project deliberately relies on regional peculiarities and cultural diversity. The integration of language and cultural knowledge into the model enables content not only to process content linguistically correctly, but also culturally sensitively. This means that, for example, literary texts, historical documents or regional dialects can be interpreted with the necessary depth and accuracy. "The diversity of Europe is our strength," emphasize the developers again and again when they highlight the cultural orientation of the project.

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Challenges in language processing

The challenges associated with the processing and integration of languages ​​with complex morphological structures should not be underestimated. For example, languages ​​such as Czech, Finnish or Hungarian have special problems when it comes to analyzing and processing word forms. However, Openeeurollm takes these challenges as an incentive to develop innovative approaches in natural language processing. Through the use of the latest algorithms and the intensive cooperation with experts from the respective linguistics, the aim is to achieve equivalent performance for these languages ​​as for international languages. This commitment to linguistic justice not only strengthens trust in the technology, but also promotes cultural integration and intercultural exchange within Europe.

Long -term perspectives and industry -specific applications

The long -term perspectives of Openeurollm are far -reaching. In addition to direct use in word processing and in the dialog system, specialized models for use in various industries are also to be developed. For example, the model could be used in medical research, in legal advice or in educational work. Each of these domains requires specific adjustments and a deep understanding of the respective technical language and terminology. Due to the open architecture of Openeurollm, experts from different areas can take part in the further development and adapt the model to the needs of their industry. This interdisciplinarity is a great advantage over rigid, proprietary systems.

Support for small and medium -sized companies (SME)

Another exciting field of application is the support of small and medium -sized companies (SMEs) in Europe. These companies often lack resources to invest in expensive proprietary AI solutions. Openeeurollm offers the opportunity to use the latest AI technologies without relying on external service providers. This not only promotes the competitiveness of SMEs, but also strengthens the entire European economy by democratizing innovations and making access to key technologies easier.

The role of the high -performance calculation centers

The role of the high-performance data centers, especially the Eurohpc centers, must not be underestimated in this context. These centers provide the necessary infrastructure that enables it to efficiently process large amounts of data and to carry out complex algorithms in real time. Without this technical support, the ambitious goals of Openeeurollm would hardly be reached. The close cooperation between the research institutions and the data centers ensures that developments are always based on the latest state of the art and can be flexibly adapted to the changing requirements.

Ethics and transparency in development

Openeeurollm also plays a pioneering role with regard to ethical questions and the responsible use of AI. In the public debate about artificial intelligence, topics such as data protection, algorithmic fairness and avoiding bias are becoming increasingly important. The project therefore integrates mechanisms from the start to ensure that all processes are transparent and comprehensible. The open documentation of all data sources, training methods and evaluation metrics used enables independent experts to continuously review the model and to identify any inconsistencies at an early stage. "Ethics and transparency are not additional options, but the basic pillars of our work," emphasize the project managers again and again. This attitude significantly helps to strengthen the public's trust in AI systems and to pave the way for a responsible handling of technology.

Integration of the community

A central success factor of the project is also the intensive integration of the community. Scientists, developers, entrepreneurs and interested citizens have the opportunity to actively participate in the further development of Openeurollm. Regular workshops, online forums and conferences create a lively exchange that contributes to continuously questioning and improving the technological advances. This participative approach not only promotes innovation, but also raises awareness of the importance of open research and collaborative development in an increasingly digitized world.

Cooperation for European AI development

The cooperation between the various European institutions impressively shows that the path to a sovereign and independent AI development does not lead to national solo purposes, but through joint efforts and the exchange of knowledge and resources. Openeeurollm is a living example of how a project can result from cooperation and shared responsibility that promotes the entire continent. The bundling of scientific expertise, industrial know-how and technical infrastructure makes it possible to develop innovative solutions that go far beyond mere word processing and set new standards in digital transformation.

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Vision and added value of Openeeurollm

Overall, it can be said that Openeeurollm is far more than just another AI project. It is a visionary undertaking that aims to strengthen the digital sovereignty of Europe, maintain cultural and linguistic diversity and at the same time make access to the latest technology accessible to everyone. Through the combination of openness, transparency, interdisciplinary cooperation and a deep understanding of the needs of a diverse society, Openeurollm becomes a pioneering project that could sustainably shape the future of artificial intelligence in Europe.

Integration of social and cultural challenges

The success of Openeeurollm does not only depend on the technical implementation, but also on the ability to integrate social, ethical and cultural challenges into the development process. At a time when technological developments are progressing faster, it is essential that the associated social and cultural aspects are also taken into account. The close cooperation between technology and society, as is practiced at Openeurollm, represents a future -oriented model that can serve as a model for further projects. This shows that progress and tradition can go hand in hand when it comes to linking both sides.

Openeeurollm as a future model for European AI

Openeeurollm is a project that takes new ground in many ways. It represents an important step in the direction of an open, transparent and ethically responsible AI development that meets the specific requirements and values ​​of Europe. With its focus on multilinguality, cultural sensitivity, open cooperation and regulatory conformity, the project not only sets new standards in technological development, but also promotes intercultural dialogue and democratic participation in the digital future. The close cooperation between research, industry and public sector shows that European cooperation forms a strong foundation for innovation and progress - a foundation that enables challenges to tackle together and use opportunities that go far beyond the purely technological field.

Symbol of a new era of the European AI landscape

In this sense, Openeurollm is a symbol of a new era in the European AI landscape-an era, openness, diversity and community responsibility are the central guidelines and pave the way into a digital sovereign future.

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Europe bundles its forces in the "Openeeurollm" project: Xpert.digital

Open voice models with improved logical thinking for powerful and transparent artificial intelligence in Europe

Europe's leading AI companies and research institutions bundle their strength and expertise in order to develop the next generation of open source language models with greatly improved logical thinking in an unprecedented cooperation: the Openeurollm project . Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS also part of the consortium.

20 leading European research institutions, companies and EUROHPC high-performance data centers will develop a family of powerful, multilingual large language models for commercial, industrial, scientific and public applications. Democratize these transparent and compliant open source models-along with open data sets for their creation-access to high-quality AI technologies. They strengthen both the competitiveness of European companies on the global market and the ability of public organizations to provide effective public services.

While there have already been many such projects, all of which could not keep up with the competition from the USA (Openai, Meta & Co.) or China (Deepseek, Alibabas Qwen & Co.), this time is new that the best heads from science, Startups and the open source scene come together. The connection of large EUROHPC centers - JSC, BSC, Cineca, CSC - which both the largest supercomputers in Europe with the corresponding infrastructure and the necessary expertise are unique.

The Openeurollm project is in line with the urgent need to strengthen Europe's competitiveness, research skills and digital sovereignty. It is an outstanding example of the technological infrastructure that is necessary to reduce the entry hurdles for the development and optimization of European AI products. The project relies on transparency, openness and participation in the community-values ​​that are broadly recognized in the European technology ecosystem. The models are developed within the robust European regulatory framework in order to combine the highest technological excellence with European values.

In collaboration with open source and open science communities such as Laion, Open-Sci and OpenML as well as other worldwide recognized experts: Inside in the Open Strategic Partnership Board such as Thomas Wolf (Huggingface), CE Zhang (Together AI), Colin Raffel ( Eleutherai, Vector Institute), Alice OH (Kaist) and Melanie Mitchell (Santa Fe Institute) ensure that the models, software, data and evaluation are completely open and can be tailored to specific industries and public use. These powerful, multilingual models preserve both linguistic and cultural diversity and enable European companies to develop high-quality products and services in the AI ​​age.

The project, which was awarded the EU STEP seal (Strategic Technologies for Europe Platform), builds on earlier European projects as well as the experience and know-how of the partners-among them are large repositories of high-quality data and already developed pilot LLMs. The consortium takes up its work on February 1, 2025 and is funded by the European Commission as part of the Digital Europe program with a good 20 million euros.

In Germany, the Ellis Institute Tübingen, the Jülich Research Center, the Tübingen Ai Center (University of Tübingen), Alph Alpha, the startup Ellamind and the Fraunhofer IAIS take part.

The entire consortium includes

Universities and research institutions

• Charles University (Institute of Formal and Applied Linguistics), Czechia (Coordinator)
• Alliance for Language Technologies Edic (Alt-Edic), France
• Eindhoven University of Technology, The Netherlands
• Ellis Institute Tübingen, Germany
• Fraunhofer Iais, Germany
• Lindholmen Science Park (Ai Sweden), Sweden
• University of Helsinki, Finland
• University of Oslo, Norway
• University of Turku, Finland
• University of Tübingen (Tübingen Ai Center), Germany
• Research Center Juelich (FZJ), Germany

Companies

• Silo Genai (AMD Silo Ai), Finland (co-lead)
• Alpha Alpha Research, Germany
• Ellamind, Germany
• Lighton, France
• Prompsit Language Engineering, Spain

EUROHPC centers

• Barcelona Supercomputing Center, Spain
• Cineca Interiversity Consortium, Italy
• CSC - IT Center for Science, Finland
• Juelich Supercomputing Center (JSC), Germany
• Surf, The Netherlands

About the Ellis Institute Tübingen

The Ellis Institute Tübingen is striving to gather the most creative minds in order to carry out excellent basic research in the field of artificial intelligence. For example, the world's first Ellis Institute is developing into a recognized center for experts and research, which can offer state -of -the -art jobs and very good conditions for the implementation of research. The institute emerged from the Ellis Network, the European Labor for Learning and Intelligent Systems (Ellis), which builds a Europe -wide network for research in the field of mechanical learning.

About the Tübingen Ai Center

The Tübingen Ai Center is a research institution at the University of Tübingen in cooperation with the Max Planck Institute for Intelligent Systems (MPI-IS). The aim of the researchers is to promote robust learning systems for the benefit of society and the economy. The Tübingen Ai Center summarizes 250 scientists in 20 research groups. Together with other researchers in Europe, they make a contribution to socially valuable technologies as "AI made in Europe". The Tübingen Ai Center works closely with the Ellis Institute Tübingen and the cyber Valley. It is funded by the Baden-Württemberg Ministry of Research and the Federal Ministry of Education and Research.

About Ellamind

Ellamind GmbH is a Ki startup with a location in Bremen, which specializes in the development of the latest AI models and applications. Ellamind is currently developing an innovative AI evaluation and optimization platform that is specially designed for B2B applications. The company's customers include, for example, a DAX group, one of the largest German health insurance companies and the federal administration. Ellamind's origins are located in the open source Ki community and its founders and employees have developed and published some of the most popular open AI models for German-language applications.

About Fraunhofer Iais

As part of the largest organization for application-oriented research in Europe, the Fraunhofer Institute for Intelligent Analysis and Information Systems, based in Sankt Augustin/Bonn and a location in Dresden, is one of the leading science institutes in the fields of artificial intelligence (AI), machine learning and Big Data in Germany and Europe. Around 380 employees support companies in optimizing products, services and processes as well as in the development of new digital business models.

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