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。
What surprised me was that this entire walk is fully hardware-driven -- no microcode involvement at all. The state machine reads the page directory entry, reads the page table entry, checks permissions, and writes back the Accessed and Dirty bits, all autonomously. Since it's hardware-driven, it runs in parallel with the microcode and needs its own memory bus arbitration -- the paging unit must share the bus with both data accesses from the microcode and prefetch requests from the instruction queue.
"Ministers must urgently get a grip on the spiralling costs of the Covid Inquiry and commit to delivering answers swiftly and efficiently."，更多细节参见爱思助手下载最新版本
N-Closest Algorithm
。关于这个话题，爱思助手下载最新版本提供了深入分析
黎智英欺詐案上訴得直：定罪及刑罰被撤銷，出獄時間提前，详情可参考服务器推荐
This month Ofgem, the UK's energy market regulator, said a surge in demand for grid connections last year had been "driven by the rapid growth" of data centres.