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April 7, 2025
The development of multilingual AI models is progressing rapidly. With Llama 4, Meta now presents a new version of its large language model, which is optimized for 12 languages and offers developers the ability to adapt the model for further languages. This opens up new possibilities for international communication and the use of AI in a wide variety of application areas.
Llama 4 now supports 12 languages by default: English, German, French, Spanish, Italian, Portuguese, Polish, Dutch, Romanian, Russian, Chinese, and Japanese. The selection of these languages reflects the global distribution and economic relevance of the respective language areas. For users and developers, this means that they can effectively use Llama 4 for tasks such as translation, text generation, and chatbots in these languages.
A special feature of Llama 4 is the possibility of fine-tuning. Developers can adapt the model to their specific needs and train it for further languages beyond the 12 supported by default. This flexibility enables the development of customized AI solutions for a wide variety of use cases and language communities. The guidelines of the Llama 4 Community License and the Acceptable Use Policy must be observed.
The development of multilingual AI models holds enormous potential. It can help to overcome language barriers, promote international exchange, and improve access to information and technologies for people worldwide. At the same time, there are also challenges, such as regarding the quality of translations, avoiding bias, and ensuring the cultural sensitivity of AI systems.
Llama 4 joins a series of large language models that have been developed in recent years. Compared to previous versions, Llama 4 offers improved performance and expanded features. The ability to fine-tune and the support of multiple languages position Llama 4 as a promising tool for developers and companies who want to create AI solutions for a global audience.
The development of multilingual AI models is still in its early stages. It is expected that more languages will be supported in the future and the performance of the models will be further improved. Research in the field of machine translation and natural language processing is continuously advancing and promises exciting innovations for the future of communication and human-machine interaction.
The German AI company Mindverse offers a comprehensive range of AI tools and services, including text generation, image creation, and research functions. In addition, Mindverse develops customer-specific solutions such as chatbots, voicebots, AI search engines, and knowledge systems. With its expertise in the field of artificial intelligence, Mindverse supports companies in optimally utilizing the potential of AI.
Bibliographie: - https://twitter.com/AIatMeta/status/1908618309937045984 - https://github.com/meta-llama/llama-models/blob/main/models/llama4/MODEL_CARD.md - https://build.nvidia.com/meta/llama-4-maverick-17b-128e-instruct/modelcard - https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Original - https://www.llama.com/faq/ - https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md - https://www.llama.com/ - https://en.wikipedia.org/wiki/Llama_(language_model) - https://x.com/aarnphm_/status/1908622504223977766 ```