Beyond the GPT hype: Why TildeOpen LLM could be a game changer for European TYPO3 enterprise solutions.
The integration of AI into TYPO3 is no longer a “nice-to-have” feature, but rather standard practice. However, while most integrations are based on US-centric models that often reach their limits when dealing with complex European language structures, we at in2code are taking it one step further. Together with Tilde, we are bringing TildeOpen LLM directly into the TYPO3 ecosystem.
tl;dr
TYPO3 is the CMS for the multilingual European market. TildeOpen-30b has been specifically trained to close the “performance gap” in Nordic, Baltic, and Eastern European languages. Thanks to Equitable Tokenizers, the model processes German or Latvian texts up to 40% more efficiently than Llama-3 or GPT-4.
At a time when data security and sovereignty are critical factors, Tilde offers a European response. Trained on the LUMI supercomputer and cleansed of propaganda and disinformation, this model enables an AI strategy that is in line with European values and the GDPR.
Since TildeOpen LLM is a powerful base model, we at in2code do not use it as an external text engine. We implement it in such a way that it can be adapted for specific TYPO3 workflows, images, documents, and to the company's own “corporate language.”
The model is adapted to perform specific tasks, such as translation, summarization, and in-context question answering. The model’s translation can be adapted to specific use cases, such as a company’s own “corporate language,” industry-specific terminology, tone of voice, and more. This is achieved through “adapter training.
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