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This Finland-Based AI Startup Unveils Poro: A Revolutionary Open Source Language Model Boosting European Multilingual AI Capabilities

A Finnish AI startup called Poro has developed an open-source language model designed to cover all 24 official languages of the European Union. Poro uses cross-lingual training and has 34.2 billion parameters. It outperforms existing models for Finnish and aims to match or surpass English performance. The startup believes that Poro is important for digital sovereignty and offers an alternative to language models from major tech companies.

 This Finland-Based AI Startup Unveils Poro: A Revolutionary Open Source Language Model Boosting European Multilingual AI Capabilities

This Finland-Based AI Startup Unveils Poro: A Revolutionary Open Source Language Model Boosting European Multilingual AI Capabilities

Creating language models for European languages with less data than English has been a challenge in the field of artificial intelligence. However, a Finnish AI startup called Poro has introduced a new solution to this problem.

Prior to Poro, language models were often specific to one language and may not have performed well for languages with less data. This was because these models needed to capture the unique characteristics, culture, and value base of each European language. There was a need for a more inclusive solution.

Poro is an open-source language model developed by the Finnish AI startup. It aims to cover all 24 official languages of the European Union, creating a family of models that understand and represent the diversity of European languages. This is important for digital sovereignty, ensuring that the value created by these models stays within Europe.

Poro tackles the challenge of training language models for languages with less available data, such as Finnish. It uses a cross-lingual training approach, learning from data in higher-resourced languages like English to enhance its performance for lower-resourced languages.

The Poro 34B model has 34.2 billion parameters and uses a unique architecture called a BLOOM transformer with ALiBi embeddings. It’s trained on a massive multilingual dataset, covering languages and programming languages like Python and Java. The training takes place on one of Europe’s fastest supercomputers, providing enormous computing power.

Poro releases checkpoints throughout the model training process, showcasing its progress. Even at 30% completion, Poro is showing state-of-the-art results. In tests, it outperforms existing models for Finnish and is on track to match or surpass English performance.

Practical AI Solutions for Middle Managers

If you want to evolve your company with AI and stay competitive, consider leveraging the capabilities of Poro. Here are some practical steps to get started:

  1. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
  2. Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
  3. Select an AI Solution: Choose tools that align with your needs and provide customization.
  4. Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.

For AI KPI management advice, connect with us at hello@itinai.com. And for continuous insights into leveraging AI, stay tuned on our Telegram channel or follow us on Twitter @itinaicom.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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