人們嘗試過各種奇葩策略，試圖從大型語言模型（LLM，ChatGPT等工具背後的AI技術）中獲得更好的回饋。有些人深信，威脅AI能讓它表現得更好；另一些人認為，禮貌待人會讓聊天機器人更配合；還有些人甚至要求機器人扮演某個研究領域的專家來回答問題。這樣的例子不勝枚舉。這都是圍繞著「提示工程」或「情境工程」——即建構指令以使AI提供更佳結果的不同方法——所形成的迷思的一部分。但事實是：專家告訴我，許多被廣泛接受的提示技巧根本不起作用，有些甚至可能是危險的。但是，你與AI的溝通方式確實至關重要，某些技巧真的能帶來差異。
It's been designed by Notion, that could be a Google space different that helps groups craft higher ideas and collaborate effectively.，详情可参考heLLoword翻译官方下载
。WPS官方版本下载对此有专业解读
Streaming Transcription (Nemotron 600M)，更多细节参见爱思助手下载最新版本
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That is until recently, when a social media platform’s ill-kept privacy files surfaced on the public internet and an increasingly litigious group of people decided to take matters to court. Now, in an attempt to work proactively to keep underage users safe online and also ensure the privacy of everyone’s collected data, companies are pursuing new methods to verify the age of their users online. But the lack of federal regulation is also fueling this paradoxical directive and fostering the conflict: social media companies can collect the data of users of all ages, to keep children safe.