Sivo DeFi

High Fluency Languages: English, Spanish, French, German, Chinese (Simplified), and Russian. AIs can generate and understand text with a high degree of accuracy and can handle complex tasks in these languages.

Moderate Fluency Languages: Italian, Portuguese (Brazilian), Dutch, Japanese, Korean, and Chinese (Traditional). AIs can perform well for general tasks but might struggle with very complex language nuances, idioms, or highly specialized terminology.

Basic Support Languages: AIs offer basic support for dozens of other languages, including but not limited to Arabic, Turkish, Swedish, Danish, Finnish, Norwegian, Polish, Czech, Greek, Hungarian, and many others. In these languages, AIs can handle simple conversations and tasks but might not fully grasp complex grammar, idioms, or cultural nuances.

Variability in Performance: It's crucial to note that AI performance can vary based on the specific task, the complexity of the language used, and the availability of training data in that language. For instance, AIs might perform well in technical or general discussions but less so in deeply cultural or idiomatic contexts.

1. High Fluency Languages: English, Spanish, French, German, Chinese (Simplified), and Russian. AIs can generate and understand text with a high degree of accuracy and can handle complex tasks in these languages.
2. Moderate Fluency Languages: Italian, Portuguese (Brazilian), Dutch, Japanese, Korean, and Chinese (Traditional). AIs can perform well for general tasks but might struggle with very complex language nuances, idioms, or highly specialized terminology.
3. Basic Support Languages: AIs offer basic support for dozens of other languages, including but not limited to Arabic, Turkish, Swedish, Danish, Finnish, Norwegian, Polish, Czech, Greek, Hungarian, and many others. In these languages, AIs can handle simple conversations and tasks but might not fully grasp complex grammar, idioms, or cultural nuances.
4. Variability in Performance: It's crucial to note that AI performance can vary based on the specific task, the complexity of the language used, and the availability of training data in that language. For instance, AIs might perform well in technical or general discussions but less so in deeply cultural or idiomatic contexts.