In a Linux community discussion, users reported that the Gemini Flash model performs poorly in following instructions, failing to accurately execute verbatim copying tasks. For example, it incorrectly output “的核心技术壁垒” instead of “核心的技术壁垒”. Although users had explicitly provided feedback in the prompt to avoid such errors, the model persistently repeated the problematic behavior. While there was a small probability of outputting different content, it did not enter a complete infinite loop. In contrast, the Claude Haiku model performed more reliably, never exhibiting similar issues. This phenomenon reveals the reliability differences among AI models in prompt engineering, suggesting that users need to consider instruction accuracy requirements when selecting models. The discussion involved three posts from two participants, providing practical cases that serve as a valuable reference for readers concerned with AI performance and prompt optimization.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入,数据量也很大,很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度,AI模型的发展趋势值得关注。
内容丰富,对未来趋势分析得挺到位的。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害,文章解析得挺透彻的。
文章内容很实用,想了解更多相关技巧。