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Artificial Intelligence: Research project publishes AI language model from Europe

The European research project OpenGPT-X has published a large language model for artificial intelligence applications. The model called “Teuken-7B” was made available for download on the “Hugging Face” platform.

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OpenGPT-X is a European research and development project launched in early 2022. The aim of the project is to develop a large AI language model that meets the requirements of European values, data protection standards and linguistic diversity. “Teuken-7B” was trained from the ground up with the 24 official languages ​​of the EU and includes seven billion parameters.

US dominance in AI language models

To date, almost all relevant AI language models in the Western world come from the USA. These include GPT-4 from OpenAI, Claude from the AI ​​start-up Anthropic, Grok from Elon Musk’s xAI as well as Llama from the Facebook group Meta and Gemini from Google. According to experts’ estimates, OpenAI’s GPT variant GPT-4o alone has around 200 billion parameters.

The European model “Teuken-7B” should now be freely available worldwide and thus offer an alternative for science and companies based on public research. Research and corporate actors can also use the open source model in commercial projects and use the code in their own artificial intelligence applications.

European linguistic diversity

The OpenGPT-X project is led by the two Fraunhofer Institutes for Intelligent Analysis and Information Systems (IAIS) and for Integrated Circuits (IIS). The TU Dresden, the Research Center Jülich and companies such as Aleph Alpha and IONOS SE are also involved.

“Our model has demonstrated its performance across a wide range of languages, and we hope that as many people as possible will adapt or further develop the model for their own work and applications,” said Stefan Wrobel, director of the institute at Fraunhofer IAIS.

The aim is to make a contribution both within the scientific community and together with companies from different industries in order to meet the increasing need for transparent and individually adaptable generative artificial intelligence solutions.

⁤Given the increasing geopolitical focus on AI‌ development, does Teuken-7B’s release mark a ⁤significant ⁣shift in the global⁤ AI landscape, potentially challenging the dominance ⁢of American tech giants?

## ⁢Interview: ​Teuken-7B – A European‍ Response ​to ‍American AI ‌Dominance?

**Guests:**

* **Dr. Anna Schmidt:** AI Ethics​ Researcher specializing in ⁢Open​ Source ​AI

* ​**Mr. Thomas Bauer:** CEO of‌ a⁢ German tech startup utilizing AI language models

**Introduction**

Welcome to World Today‍ News. Today, we’re discussing the release of Teuken-7B, a ⁣new large language ⁤model developed by the European research⁣ project OpenGPT-X. This development ⁤comes at a ‌time when the field of AI language models​ is largely‌ dominated by American companies. To delve deeper into the implications⁢ of ​this⁣ development, we have with us Dr. Anna Schmidt, ‌an AI Ethics ‌Researcher, and Mr. Thomas Bauer, ⁣CEO of a ⁣German tech startup utilizing AI language models.

**Section 1: The Open Source Advantage**

**Interviewer:** Dr. Schmidt, Teuken-7B ⁤is being released ⁤as‌ open-source software. ‍What are the potential benefits and challenges of⁣ this approach compared to the proprietary models developed by companies​ like OpenAI and Google?

**Dr. Schmidt:** Certainly.‍ Open⁢ sourcing allows for greater ‌transparency and collaboration, encouraging independent scrutiny and improvement of the model.

This fosters ‍a more democratic development process, reducing​ reliance on powerful tech ⁢giants. However,

open sourcing also‍ presents challenges ​like ensuring model robustness, mitigating potential misuse, and sustaining ⁢long-term development without‍ commercial revenue.

**Interviewer:** Mr. ⁤Bauer, from⁢ a company perspective, how ⁢attractive is an open-source model like Teuken-7B compared to commercially⁣ available options?

**Mr. Bauer:** Open-source models like Teuken-7B​ offer⁢ incredible⁢ potential for customization.

We can tailor the​ model to our specific needs, integrating it​ directly into our products and services.

This flexibility can ‌be a huge advantage, especially for smaller⁢ companies who may not ‌have the resources to

develop ⁢their own models from scratch.

**Section 2:

The “European” Model**

**Interviewer:** Teuken-7B was trained on all 24 official languages of the EU.

Dr.⁤ Schmidt, why ​is linguistic diversity particularly important in the context ​of AI language models?

**Dr. Schmidt:** AI models learn from the data they are trained on.

If these models are ​primarily trained on⁣ English, they⁢ may ‍perpetuate biases ⁤and struggle to understand

the nuances of other languages.

Teuken-7B’s multilingual approach is crucial⁤ for ‌ensuring inclusivity and representation⁤ in ‌the ⁣development of AI

technology.

**Interviewer:** Mr. ​Bauer, how significant is ⁣the⁤ availability of a model trained ⁤on multiple European languages for your business operations?

**Mr. Bauer:** It’s tremendously important. Our customer base spans‍ across Europe, so

having a

model⁢ that understands the ⁤intricacies of ​various ‌European languages greatly enhances our⁢ ability to

personalized services and reach a wider audience.

**Section 3:

The Future of OpenGPT-X**

**Interviewer:**

Looking ahead, what are your thoughts on ⁢the long-term impact of the

OpenGPT-X project?

**Dr.⁤ Schmidt:** The success of OpenGPT-X depends on ⁢continued collaboration and investment.

If the⁤ project ‌can attract ongoing support from both the research community‍ and ⁤industry‌ partners, it has⁢ the

potential to become a leading force ⁢in ⁢the

development of ethical and transparent‍ AI.

**(Interviewer:** Mr. ‌Bauer

**Mr.⁤ Bauer:**

I am incredibly optimistic about the future of ⁢OpenGPT-X.

This⁤ project

demonstrates⁢ the

power of collaborative innovation and offers a compelling alternative to ‍the dominant paradigm

of ⁢closed-source AI models.

**Conclusion**

The release of Teuken-7B marks a significant step ⁢towards ‍a more diverse ⁢and⁢ open AI landscape. By fostering collaboration and prioritizing ethical considerations, projects like OpenGPT-X

have the potential to shape

the future of⁣ AI ‌in a way⁢ that‌ benefits all. Thank⁣ you to Dr. Schmidt​ and‌ Mr. Bauer for sharing their insights

with us ​today.

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