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k Efficiency The kization process in the large language model reveals significant differences in efficiency between different languages. English prompts generally require fewer k, while Asian languages ​​require multiple k to express the same meaning, which affects the overall prompt efficiency. English is the most efficient prompt language with a prompt efficiency of about K times that of Chinese, Japanese, and Korean. and Language Support The reliance of large language models on language encoding highlights the importance of standardization in achieving language inclusion. Languages ​​that are not included in the large language model, such as Klingon, face huge obstacles in gaining support in the large language model.


Challenges of Language Diversity There is still a huge gap between italy whatsapp phone number the coverage of 200 languages ​​and 200 languages ​​in the world. The limited representation of languages ​​in the large language model poses a challenge to preserving and understanding language diversity. Future Prospects As large language model technology continues to develop, it is critical to address the imbalance in language representation and efficiency. Striving to enhance inclusiveness and expand language support within the large language model architecture is essential to promoting language equality and cultural preservation. In summary, addressing the complexity of language efficiency and language expression in large language model courses is both a challenge and an opportunity for each language to advance language diversity and inclusive language technology.


Every monolingual or multilingual country should use the big language model as a strategic resource to develop the best AI for its own language in terms of prompt efficiency and compatibility. The current situation is that the support efficiency of English prompt words and output is nearly twice that of Chinese. When the future human-computer interaction language changes from programming language to the language spoken every day, Chinese, a language as concise and concise as it is, should have a big language model that supports it better and more efficiently. After writing this article, I can't help but sigh that the languages ​​in this world have their own characteristics and there is no "rich or poor, noble or humble" distinction.