Recently, tech enthusiasts have observed significant performance degradation in Google Gemini and OpenAI ChatGPT after user authentication, manifesting as reduced answer quality, shortened context, and simplified implementations. The author analyzes that this may be due to platform-side prompt strategies limiting the models’ deep thinking capabilities. To address this issue, the author shares a meticulously designed prompt set covering scenarios such as paper analysis, academic advice expert, and illustration expert. Through detailed few-shot examples and operational guidelines, it demonstrates how to optimize prompts to enhance AI output quality in academic paper interpretation, code model improvement, and scientific illustration. These practical techniques not only reveal the limitations of AI models but also provide users with effective performance optimization solutions, offering high reference value for readers focused on cutting-edge AI technology.
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。