SILO AI Releases New Viking Model Family (Pre-Release): An Open-Source LLM for all Nordic languages, English and Programming Languages
Artificial intelligence is advancing rapidly, and Viking, a cutting-edge language model developed by Silo AI, in collaboration with the TurkuNLP research group at the University of Turku and HPLT, is a significant step towards promoting digital independence and language diversity. Viking is designed to cater to Nordic languages, English, and programming languages, making European language models more accessible.
Practical Solutions and Value
Viking, the latest version of Silo AI’s previous LLM model, “Poro”, has modernized architecture and expanded language support, including Danish, Finnish, Norwegian, Icelandic, Swedish, and several programming languages. With three different models – Viking 7B, 13B, and 33B – Viking demonstrates Silo AI’s dedication to enhancing European digital infrastructure, promoting linguistic diversity, and bringing people closer together.
A Technological and Cultural Bridge
Viking is emblematic of Europe’s strategy to strengthen its digital sovereignty while embracing linguistic diversity. It aims to create tools that are linguistically inclusive and culturally sensitive, fostering innovation and communication within and beyond the Nordic region.
Performance
Viking outperforms other open models in low-resource languages while maintaining efficiency in English and programming languages. This highlights its effectiveness in multilingual model training and technological advancement in tackling the intricacies of multilingualism.
Architecture
Viking’s architecture is inspired by successful models and supports a sequence length of up to 4,000, backed by a dataset of 2 trillion tokens. This represents a significant advancement towards creating a multilingual and multifunctional LLM.
Open Access and Ethical Considerations
Viking is released under the Apache 2.0 License, making it freely available for both commercial and research purposes. However, further training and fine-tuning are recommended before deployment in production environments.
Key Takeaways
- Democratizing Multilingualism: Viking brings linguistic diversity to the forefront of AI development, particularly for Nordic languages.
- Technological Innovation: With state-of-the-art architecture and extensive training data, Viking showcases superior performance in understanding and generating multilingual content.
- Cultural Sensitivity: The model’s development emphasizes the importance of creating technology that respects and incorporates local values and cultures.
- Open Access: Viking is freely available under the Apache 2.0 License, encouraging innovation across various sectors by providing access to a high-quality, multilingual LLM.
- European Digital Sovereignty: The release of Viking aligns with Europe’s strategy to enhance its digital infrastructure and autonomy, positioning it as a leader in the global AI landscape.
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