Analysis
This article provides a fascinating glimpse into how Generative AI processes information, breaking down complex concepts like 'tokens' in an accessible way. It highlights the differences in efficiency between English and Japanese when using Large Language Models, offering valuable insights for users. The article also encourages the use of specific, detailed prompts in Japanese for optimal results.
Key Takeaways
- •AI utilizes 'tokens' as its fundamental unit of understanding, which differs from human understanding of words and characters.
- •Japanese text can be less efficient than English in terms of 'token' usage due to its complex structure.
- •Using detailed, specific prompts in Japanese can be more effective than translating to English for LLMs, improving 'time performance'.
Reference / Citation
View Original"Rather than forcing a translation into English where the intent of the instructions might be blurred, it's overwhelmingly better in today's business scene to 'give specific instructions in Japanese'."