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Types of engines
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Custom engines
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AI-Boosted enginesThe option to train AI-boosted engines is available from Globalese V5. These engines are combining the terminology and style accuracy of a domain-adapted engine with the linguistic capabilities of large language models. In Globalese V5, AI-Boosted Engines use currently GPT models from OpenAI. The AI-boosting option is currently available for domain-adapted engines. AI-boosted engines typically provide the best results in most cases. They are especially effective if the engine is not designed exclusively for a very specific domain, such as the translation of a technical documentation. However, the results may vary, as GPT models from OpenAI are non-deterministic by default., especially as it is supporting dynamic keyword lists. Please note that GPT models from OpenAI MS Azure are currently available as a beta service. AI-boosted engines can only be used in the Cloud Text translation scenario. |
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The following table shows the minimum and recommended number of segments.
Includes stock corpora? | Minimum volume (segments) | Recommended volume (segments) |
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Yes | 15,000 master | 100,000+ master |
No | 15,000 master | 100,000+ master |
Typical training time
The typical training time for domain-adapted engines is between 10 and 28 hours.
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