考研英语水平的进步，不仅要记单词，还需要阅读外语文献等资料。接下来，小编为2024考研者们，整理出——2024考研英语同源外刊:谷歌备忘录揭示人工智能未来，供考生参考。
2024考研英语同源外刊:谷歌备忘录揭示人工智能未来
They have changed the world by writing software. But techy types are also known for composing lengthy memos in prose, the most famous of which have marked turning points in computing. Think of Bill Gates’s “Internet tidal wave” memo of 1995. which reoriented Microsoft towards the web; or Jeff Bezos’s “API mandate” memo of 2002. which opened up Amazon’s digital infrastructure, paving the way for modern cloud computing. Now techies are abuzz about another memo, this time leaked from within Google, titled “We have no moat”. Its unknown author details the astonishing progress being made in artificial intelligence (AI)—and challenges some long-held assumptions about the balance of power in this fast-moving industry.
他们通过编写软件改变了世界。但技术人员也以撰写冗长的散文备忘录而闻名，其中较著名的备忘录标志着计算机领域的转折点。想想比尔·盖茨1995年的“互联网浪潮”备忘录，它将微软重新定位于网络;2002年杰夫·贝佐斯的“应用程序接口授权”备忘录打开了亚马逊的数字基础设施，为现代云计算铺平了道路。现在，技术人员正在讨论另一份备忘录，这次是从谷歌内部泄露出来的，标题是“我们没有护城河”。书中不知名的作者详细描述了人工智能(AI)领域正在取得的惊人进展，并挑战了人们长期以来对这个快速发展的行业中权力平衡的一些假设。
AI burst into the public consciousness with the launch in late 2022 of ChatGPT, a chatbot powered by a “large language model” (LLM) made by OpenAI, a startup closely linked to Microsoft. Its success prompted Google and other tech firms to release their own LLM-powered chatbots. Such systems can generate text and hold realistic conversations because they have been trained using trillions of words taken from the internet. Training a large LLM takes months and costs tens of millions of dollars. This led to concerns that AI would be dominated by a few deep-pocketed firms.
随着2022年底ChatGPT的推出，人工智能突然进入了公众的视野。ChatGPT是一款由与微软关系密切的初创公司OpenAI开发的“大型语言模型”(LLM)驱动的聊天机器人。它的成功促使谷歌和其他科技公司发布了他们自己的大型语言模型聊天机器人。这样的系统可以生成文本并进行真实的对话，因为它们已经使用了来自互联网的数万亿个单词进行了训练。培训一个大型语言模型需要几个月的时间，耗资数千万美元。这导致人们担心人工智能将被一些财力雄厚的公司所主导。
But that assumption is wrong, says the Google memo. It notes that researchers in the open-source community, using free, online resources, are now achieving results comparable to the biggest proprietary models. It turns out that LLMS can be “fine-tuned” using a technique called low-rank adaptation, or LoRa.
但谷歌的备忘录指出，这种假设是错误的。它指出，开源社区的研究人员使用免费的在线资源，现在正在取得与较大的专有模型相当的结果。事实证明，大型语言模型可以使用一种称为低档适应的技术进行“微调”。
单词：
leaked/liːkt/ adj. 泄露的，曝光的;
memo/ˈmemoʊ/ n. 备忘录;
reveal/rɪˈviːl/ vt. 揭示，透露;表明，证明;展示，显示;
AI abbr. 人工智能(artificial intelligence);
techy/ˈteki/ n. 科技通;科技迷;(尤指)电脑通，电脑迷;
compose/kəmˈpoʊz/ vt. 组成，构成;作曲;撰写(信、诗或演讲稿);
lengthy/ˈleŋθi/ adj. 漫长的，长时间的;(讲话、文章等)冗长的，过于详尽的;
prose/proʊz/ n. 散文，白话文;(尤指待翻译的)一段散文;平淡乏味的文章(或话语，表达法);
mark/mɑːrk/ vt. 是…的迹象;成为…的征兆;表明;
API abbr. 应用程序接口(Application Programming Interface);
mandate/ˈmændeɪt/ n. 授权，委托;
infrastructure/ˈɪnfrəstrʌktʃər/ n. 基础设施，基础建设;
abuzz/əˈbʌz/ adj. 对…议论纷纷的;
moat/moʊt/ n. 护城河;壕沟;
综上是“2024考研英语同源外刊:谷歌备忘录揭示人工智能未来”，希望对备战2024考研考生们有所帮助!让我们乘风破浪，终抵彼岸，考研加油!
