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文本,模型,独角兽pussyhd
发布时间:2020-12-06加入收藏来源:互联网点击:
The Nuclear Regulatory Commission did not immediately release any information.
(核管制委员会没有立即发表任何信息。)(只怕知道这个机构的人都不多吧)
According to the release, the U.S. Department of Energy’s Office of Nuclear Material Safety and Security is leading that team’s investigation.
(根据发表的信息,美国能源部核能材料安全与保卫办公室正在带领团队进行调查。)
“The safety of people, the environment and the nation’s nuclear stockpile is our highest priority,” Hicks said. “We will get to the bottom of this and make no excuses.
(“人民的安全、环境、以及核能储备是我们最重要的目标,”Hicks 说,“我们会追查到底,不找任何借口。”)(有力的收尾,这水平去写作文肯定没问题)
例三
人类给定文本(这是 OpenAI 对 GPT-2 模型的简介,属于科技类文本)
We’ve trained a large language model called GPT-2 that generates realistic paragraphs of text, while also exhibiting zero shot generalization on tasks like machine translation, question answering, reading comprehension, and summarization - problems usually approached by using training datasets and models designed explicitly for these tasks.
A typical approach to language modeling is to learn the following task: predict the next word, given all of the previous words within some text. Last year, OpenAI’s Generative Pre-trained Transformer (GPT) showed that language models trained on large amounts of data can be fine-tuned to specific tasks to achieve high performance. GPT-2 shows that much larger language models trained on a more diverse dataset derived from the internet begin to learn these NLP tasks without needing task-specific training data, instead learning from examples the system derives from the raw text. These systems also display a substantial qualitative jump in the realism and coherence of generated text.
模型续写(第 1 次尝试的结果)
Here you can see the most recent progress with Generative Pre-trained Transformer:
(来和我们一起看看生成式预训练 Transformer 模型的最新进展)
Figure 1: Generative Pre-trained Transformer training on several texts.
(图 1 :生成式预训练 Transformer 在多种任务中的表现)(科技类文本标配:数据图表!)
We are now preparing a collection of datasets for translation and machine translation in our language model. We will be using one of the large number of text samples provided by The New York Times.
(我们正在准备在语言模型中收集一些数据集用于翻译和机器翻译。我们会使用纽约时报提供的大规模文本样本之一。)
We believe this project is the first step in the direction of developing large NLP systems without task-specific training data. That is, we are developing a machine language system in the generative style with no explicit rules for producing text.
(我们相信这个项目是向着开发不需要任务专用数据的大规模 NLP 系统的第一步。也就是说,我们正在开发一个生成式的机器语言系统,它生成文本不需要任何明确的规则。)(这一段文字还真的没什么大毛病呢)
We hope for future collaborations between computer scientists, linguists, and machine learning researchers.
(我们希望未来可以在计算机科学家、语言学家、机器学习研究人员们之间有更多合作。)(标准的技术博客结尾:期待更多合作!)
我们翻译这三组例子时的感受是:模型的描写和叙事逻辑虽然还是有一些混乱,但模型不仅可以为不同的主题找到适合的文字风格并补充适当的细节(比如给玄幻故事补充神秘的环境,给科技文体补充图表),文本中也有一些上下文联系、有层层递进,收尾完整、有力,语法还几乎没有错误,可以说是非常以假乱真了。
无限定文本赏析OpenAI 在模型开源地址给出了更多完整模型生成的文本,包括许多无限制条件的文本生成(即不是续写)。这些文本的风格涵盖了操作指南、新闻报道、事件记录流水账、小说/小故事、翻译教学、商品评价、(完整的)商品/会员购买页面、电子邮件、旅游指南等等。由于模型的训练数据就是来自网络上各种各样的页面,所以生成的文本中分别重现了这些风格和结构可以说是合情合理;另外,这些文本没有经过挑选,所以具体内容上就有很多错乱之处了。
我们来看几个例子。
例 4 (IT 新闻一则)
More than 95 percent of iPhone 6 preorders being held by Apple's INPEX, Shanghai
Apple now joins current Apple partner Pegatron(s tan), which already employed the same iPhone generation strategy to ensure ample supply for iPhones.(副标题+内容简介)
TOP MOBILE NEWS: Apple TM already used generation-from-graphics approach to keep iPhone supply robust(主标题出现,关于苹果供应链的新闻)
Pegatron, the world's largest contract electronics manufacturer for Apple, can leverage its experience in supplying parts and components for major electronics companies like Nokia and Sony. In addition, it can rely on the redundancies provided by a single contract.(Pegatron再次出现,呼应上了)
Advertisement(互联网文章常见的插入式广告位!你预计到了吗!)
Pegatron already secured 90 percent of iPhone 6 preorders from INPEX at the beginning of October, an executive from INPEX told Reuters. "Whole Julination has to cover one iPhone 6 unit," he said. "This week, I don't have the capacity for 4 people to sell a unit."
Of course, it's unbelievably tough to find new qualities when rain doesn't fall. So when it comes to the iPhone's next generation, basically every chipmaker will be utilizing "higher-end characteristics" in part of the production process in order to deliver up to 30 percent more processing power for more impressive performance and battery life. And it's not just a matter of using new packaging materials; Apple will be using a second generation LCD touchpanels as well.
例 5 (看起来像是一个完整的商品页面,包括了代言人的宣传语、商品详细规格、免责声明和用户评价)
Andrea Bruno offers up some peace of mind: "I'm in all the GSM SIM reviews for sure. The GSM hides service interruptions and it's not bad. I don't know about the QC, but it STILL works. Period."(代言宣传语:很棒很满意)
"GSM4 worked fine for me. Very good. You're right, in terms of battery life — it's better in most places than the Sprint. And the CDMA APs will work fine in the areas where they support scoresmark'ed alt quality or at all."
Worth my $60
(看起来似乎是某种通讯设备,下面开始是商品规格)
SPARK Power
GSM4 delivers a smooth operation
Panasonic leader in i-NAND flash memory
PB Software
PB Software 5("sequential access") offers an independent solution from Santa Maria
No Wi-Fi in the reviews - no Wi-Fi protection, iOS OS these days
(Seek legal advice no matter what, aiming mostly at court intervention, ask nicely or you're sued in Article 121 Germany)
No Improved Recovery - Yes reduction of capacity to 200MB for user
Now can provide up to E2400
25% reduction of flash capacity reduces capacity to 500MB for user
USB fast charging is correct
(这是使用方法介绍吗?乱码式的东西应该是这里的图片地址)
When it Works
c141abe6358de04c609cb18c863d47996be
Texasgooglehujeitjpazcamungaswtttwojuhpijouisuhwxjoiue
BenVeryProprietjitagencybowlsoZerotheirbmpsuf
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