This article shares the author’s hands-on experience using various AI models, including GPT-5.2-thinking for solution generation, Claude-4.5-opus for code refactoring, and DeepSeek-R1-0528 for Chinese language analysis. The author reviews the migration process from GPT-4o to Gemini-2.5 and delves into the confusion caused by the rise of Gemini-3-flash, highlighting its high ratings and cost-effectiveness. The piece explores model selection strategies for different scenarios, such as reasoning tasks, multimodal processing, and daily applications, aiming to help readers optimize their AI tool usage and boost productivity. By comparing responses from various models using the same prompts, the author emphasizes the diversity and practicality of model selection and encourages community discussion to share further insights. This content serves as a valuable reference for AI users, helping them quickly and accurately choose the right models for their daily work and avoid common pitfalls.
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。