


As the most anticipated AI model in history, Is GPT-4 really coming?
# In the past few days, a column by AI analyst Romero quickly "exploded" the entire AI technology circle as soon as it was released.
He said, "GPT-4 is almost ready and will be released at some point between December this year and February next year".
There are even rumors that GPT-4 has advanced to the point of being "no different from humans", even 「passed the Turing test」. Compared with before, the introduction cost of enterprises will also drop significantly.
Currently, there is no model in the entire AI industry that can "officially and definitely" pass the Turing test. Therefore, the launch of GPT-4 is likely to become another great achievement in the history of AI. One year.
As soon as next month, the fourth generation model is coming soon?
In June 2020, OpenAI, a world-class artificial intelligence research institution founded by Elon Musk and others, released the third-generation generative pre-training model GPT-3.
GPT-3 has 175 billion parameters, which is 100 times that of the previous generation model GPT-2. It also improves the previous parameter record of similar NLP models by 10 times.
The release of GPT-3 is regarded as a major development by the industry, and has therefore been listed as one of the "Top Ten Breakthrough Technologies in 2021" by "MIT Technology Review".
The huge performance leap has also given everyone high hopes for OpenAI’s next-generation generative pre-training model.
If GPT-4 improves GPT-3 as much as GPT-3 does GPT-2, then this will be an improvement close to 100 times.
But in the past two years, OpenAI has always been very "shy" when talking about GPT-4, and it can even be said that it has remained silent most of the time. We can only "get a glimpse" from the sporadic information that management inadvertently revealed.
The last time news about GPT-4 leaked out, it dates back to the beginning of this year.
OpenAI CEO Sam Altman said at the time that GPT-4 was expected to be released between July and August this year.
However, recently, American technology blogger Robert Scoble said:
"Disruption is coming. GPT- 4 is better than anyone expected. It is one of several major AI products due to launch next year."
Cambrian AI analyst Alberto Romero ( Alberto Romero also quoted a tweet from Silicon Valley engineer Igor Baikov in September in a column in "Algorithm Bridge":
" OpenAI is already training GPT-4 and plans to release it between December and February."
In addition, the first-generation GPT, which contains 117 million parameters, was released in 2018; In 2019 and 2020, we ushered in GPT-2 and GPT-3 respectively.
OpenAI, which has been "reserved" for more than a year, may be time to introduce something new.
"I wouldn't be surprised if GPT-4 can pass the Turing test"
Regarding GPT-4, a representative of an AI startup company analyzed that, "GPT -4 easily passed the Turing test, or indirectly indicates that the performance is high enough to have the potential to pass the Turing test."
A recent tweet from OpenAI CEO Altman, This rumor seems to have been confirmed from the side.
He uploaded a photo of Star Wars with a sentence:
"Don't settle for the 'techno-horror' you created" And pride, the ability to pass the Turing test is powerless in front of the "Force"."
This is an imitation of the classic lines of Darth Vader, the famous character in the movie Star Wars series.
Romero also said in the article:
"If GPT-4 can fully pass Turing test, I wouldn't be surprised."
The Turing test is a test designed to understand how naturally computers communicate with humans.
Currently, there is no AI model in the AI community that has "formally and definitely" passed the Turing test.
Although some artificial intelligence models claimed to have passed the Turing test in the past, because its standards and rules were not clear, they used some "blind spots" and did not pass the test overall. test.
If the rumors are true and GPT-4 can pass the Turing test without restrictions, then it will become a well-deserved"First in history 》.
Training costs are significantly reduced and commercialization potential is huge
There is another reason why the AI circle has paid widespread attention to GPT-4: it is said that GPT-4 will be introduced into commercial services in the future The actual threshold will be much lower than the existing GPT-3 model.
At the same time, it is expected that companies that are unable to use AI technology due to the huge cost and required infrastructure will also have more room to use GPT-4.
According to Romero’s prediction, OpenAI will focus its next-generation models more on optimizing data processing rather than parameter size, so the scale of GPT-4 is likely Similar to GPT-3.
So far, advances in artificial intelligence technology and expansion of model sizes have been carried out together, but adding features to lightweight models in the near future is considered promising.
GPT-4’s model training costs are expected to be lower than before. "The training cost of GPT-4 is expected to be significantly lower than that of GPT-3," Romero wrote.
As we all know, GPT-3 costs hundreds of thousands per class just in the learning phase. This is why large companies cannot easily release GPT-3-based artificial intelligence services for ordinary users.
In South Korea, only SK Telecom’s personal artificial intelligence service “Adot” is based on GPT-3.
Romero also said that the cost of each training of GPT-4 is expected to drop below $1 million.
An ICT company official said:
"If all the known information is true, then there will be several types of products next year. Chatbot services. They are so natural that users don’t know whether they are talking to a human or a computer."
"Artificial intelligence services may increase."
Netizens: Need to be wary
Regarding OpenAI’s next-generation “Thanos”-level model, many netizens have expressed that they are “too much looking forward to it.”
However, Gary Marcus, a well-known AI scholar and founder and CEO of Robust.AI, once again badmouthed The future of GPT-4.
He said on social media: "There are rumors that GPT-4 is coming. Here is my prediction: It will still have serious problems of fiction/misinformation, toxicity and bias."
Marcus is well known for his concern for the AI industry, but he has also expressed many opinions such as "deep learning hits a wall" and "GPT-3 is completely meaningless", opposing the hype of AI.
Some netizens also expressed concerns about the potential "power" of the next-generation model:
"If this is true, Then 'his' IQ has reached at least 100."
"This will be one of the greatest technological revolutions in history, but society needs to pay attention to it immediately. Because 'he' 』The applicable potential is unlimited.」
The above is the detailed content of As soon as next month! GPT-4, the strongest language model on the planet, will be released soon? CEO hints: Passed the Turing test. For more information, please follow other related articles on the PHP Chinese website!

1 前言在发布DALL·E的15个月后,OpenAI在今年春天带了续作DALL·E 2,以其更加惊艳的效果和丰富的可玩性迅速占领了各大AI社区的头条。近年来,随着生成对抗网络(GAN)、变分自编码器(VAE)、扩散模型(Diffusion models)的出现,深度学习已向世人展现其强大的图像生成能力;加上GPT-3、BERT等NLP模型的成功,人类正逐步打破文本和图像的信息界限。在DALL·E 2中,只需输入简单的文本(prompt),它就可以生成多张1024*1024的高清图像。这些图像甚至

Wav2vec 2.0 [1],HuBERT [2] 和 WavLM [3] 等语音预训练模型,通过在多达上万小时的无标注语音数据(如 Libri-light )上的自监督学习,显著提升了自动语音识别(Automatic Speech Recognition, ASR),语音合成(Text-to-speech, TTS)和语音转换(Voice Conversation,VC)等语音下游任务的性能。然而这些模型都没有公开的中文版本,不便于应用在中文语音研究场景。 WenetSpeech [4] 是

“Making large models smaller”这是很多语言模型研究人员的学术追求,针对大模型昂贵的环境和训练成本,陈丹琦在智源大会青源学术年会上做了题为“Making large models smaller”的特邀报告。报告中重点提及了基于记忆增强的TRIME算法和基于粗细粒度联合剪枝和逐层蒸馏的CofiPruning算法。前者能够在不改变模型结构的基础上兼顾语言模型困惑度和检索速度方面的优势;而后者可以在保证下游任务准确度的同时实现更快的处理速度,具有更小的模型结构。陈丹琦 普

由于复杂的注意力机制和模型设计,大多数现有的视觉 Transformer(ViT)在现实的工业部署场景中不能像卷积神经网络(CNN)那样高效地执行。这就带来了一个问题:视觉神经网络能否像 CNN 一样快速推断并像 ViT 一样强大?近期一些工作试图设计 CNN-Transformer 混合架构来解决这个问题,但这些工作的整体性能远不能令人满意。基于此,来自字节跳动的研究者提出了一种能在现实工业场景中有效部署的下一代视觉 Transformer——Next-ViT。从延迟 / 准确性权衡的角度看,

3月27号,Stability AI的创始人兼首席执行官Emad Mostaque在一条推文中宣布,Stable Diffusion XL 现已可用于公开测试。以下是一些事项:“XL”不是这个新的AI模型的官方名称。一旦发布稳定性AI公司的官方公告,名称将会更改。与先前版本相比,图像质量有所提高与先前版本相比,图像生成速度大大加快。示例图像让我们看看新旧AI模型在结果上的差异。Prompt: Luxury sports car with aerodynamic curves, shot in a

人工智能就是一个「拼财力」的行业,如果没有高性能计算设备,别说开发基础模型,就连微调模型都做不到。但如果只靠拼硬件,单靠当前计算性能的发展速度,迟早有一天无法满足日益膨胀的需求,所以还需要配套的软件来协调统筹计算能力,这时候就需要用到「智能计算」技术。最近,来自之江实验室、中国工程院、国防科技大学、浙江大学等多达十二个国内外研究机构共同发表了一篇论文,首次对智能计算领域进行了全面的调研,涵盖了理论基础、智能与计算的技术融合、重要应用、挑战和未来前景。论文链接:https://spj.scien

译者 | 李睿审校 | 孙淑娟近年来, Transformer 机器学习模型已经成为深度学习和深度神经网络技术进步的主要亮点之一。它主要用于自然语言处理中的高级应用。谷歌正在使用它来增强其搜索引擎结果。OpenAI 使用 Transformer 创建了著名的 GPT-2和 GPT-3模型。自从2017年首次亮相以来,Transformer 架构不断发展并扩展到多种不同的变体,从语言任务扩展到其他领域。它们已被用于时间序列预测。它们是 DeepMind 的蛋白质结构预测模型 AlphaFold

说起2010年南非世界杯的最大网红,一定非「章鱼保罗」莫属!这只位于德国海洋生物中心的神奇章鱼,不仅成功预测了德国队全部七场比赛的结果,还顺利地选出了最终的总冠军西班牙队。不幸的是,保罗已经永远地离开了我们,但它的「遗产」却在人们预测足球比赛结果的尝试中持续存在。在艾伦图灵研究所(The Alan Turing Institute),随着2022年卡塔尔世界杯的持续进行,三位研究员Nick Barlow、Jack Roberts和Ryan Chan决定用一种AI算法预测今年的冠军归属。预测模型图


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Notepad++7.3.1
Easy-to-use and free code editor

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version
