指令工程
Amid the heated race between Google and Microsoft to integrate artificial intelligence into their search engines, the rise in popularity of generative AI chatbots like OpenAI’s ChatGPT has opened “the next frontier of the commercial internet.”
在谷歌和微軟將人工智慧（AI）整合進搜尋引擎的激烈競爭中，像OpenAI的ChatGPT這樣的生成式人工智慧聊天機器人的流行，已開啟了「商業網際網路的下一個前沿」。
amid(prep.)在…之中;在…背景下heated(adj.)激烈的;熱烈的a heated debate激烈的辯論a heated discussion熱烈的討論integrate A into sth把A融入、整合到B裡面the next frontier下一個前沿
Along with this, a new skill has arisen called “prompt engineering,” which is the ability to give clear commands to AI to receive desired results.
與此同時，出現了一項被稱為「提示工程」的新技能，這是一種向AI發出明確指令以獲取所需結果的能力。
command(n.)命令;指示give commands下指令;下命令desired(adj.)想要的;預期的the desired effect預期效果desired results預期的結果
Since its launch on November 30, 2022, ChatGPT has set the world on fire, accumulating a staggering number of users — upwards of 30 million.
自2022年11月30日推出以來，ChatGPT已經在世界引起了轟動，累積了驚人的用戶數——高達3,000多萬。
set the world on fire 席捲全球staggering(adj.)驚人的=astonishing=surprising
What makes generative AI models like ChatGPT interesting to the masses are their creative features. They can not only help with searching for information online but also engage in “busywork, memo writing, research, homework, sketching, outlining, storyboarding, and teaching.”
ChatGPT等生成式AI模型之所以能讓大眾感興趣，是由於他們的創造性功能。不僅可以幫助在網路上搜尋資訊，還可以進行「累人而無價值的工作、寫備忘錄、做研究、寫作業、畫草圖、擬大綱、寫分鏡腳本，以及教學」。
the masses大眾、普羅大眾=the publicbusywork(n.)消磨時間的工作storyboarding(n.)寫分鏡腳本
Despite these seemingly endless creative possibilities, ChatGPT, which generates text, and other popular platforms DALL-E 2 and Midjourney, which both produce images, require users to formulate their input correctly in order to get accurate output.
儘管有這些看似無限的創意可能性，但生成文本的ChatGPT、生成圖像的其他熱門平台DALL-E 2和Midjourney都需要使用者精確制定他們輸入的指令，才能獲得準確的輸出。
formulate(v.)制訂;規劃;構想formulate a new plan制訂一個新計劃formulate legislation制訂法律input(n.)(v.)輸入(的內容)output(n.)(v.)輸出(的內容)
This is where the idea of prompt engineering comes in. Since each generative AI platform uses commands from users to pull, organize and index “the information at its disposal,” good prompts need to be more than just specific; they need to reflect a deeper understanding of the model the user is trying to manipulate.
這就是提示工程能派上用場之處。由於每個生成式AI平台都使用來自用戶的指令以提取、組織和索引「它所掌握的資訊」，因此良好的提示需要不僅是具體的，還需要反映對使用者試圖操縱的模型的深入了解。
come in開始起作用at sb’s disposal 在某人的支配之下、可供某人使用
While many users might employ a guess and check approach to try to create the text or images that they want, the skill of prompt engineering can turn this process into more of a science.
儘管許多使用者可能採用「猜測和檢查的方法」來創造他們想要的文本或圖像，但提示工程的技能可以讓這個過程變得更像是一門科學。
employ(v.)使用=utilize=usea guess and check approach猜測和檢查的方法
In fact, the existence of PromptBase, a specialty marketplace for prompt engineers who “can speak to the machines,” is a clear sign that user skill and strategy do play a role in “talking to” generative AI models.
事實上，PromptBase的存在是一個為「能與機器對話」的提示工程師提供的專業市場，這清楚指出使用者技能和策略在與生成式AI模型的「對話」中確實能起到作用。
a specialty marketplace一個專門的市場
Just like programming, prompt engineering seems to be one aspect of fast-developing AI technologies that has not yet made humans obsolete. Instead, it has become an emergent skill that users can hone to improve the results of their creative interactions with artificial intelligence.
就像寫程式一樣，提示工程似乎是快速發展的AI技術中還沒有使人類被淘汰的一個層面。相反地，它已經成為一項新興技能，使用者可以透過訓練來改善他們與人工智慧進行創造性互動的結果。
obsolete(adj.)廢棄的、過時的、淘汰的hone(v.)磨練、磨礪、訓練=sharpen