


Just now, according to the latest news from The Information, OpenAI is about to release a new open source large language model.
Although it is unclear whether OpenAI intends to use the upcoming open source model to seize the market share of Vicuna or other open source models.
But it is almost certain that the capabilities of the new model will most likely not be able to compete with GPT-4 or even GPT-3.5.
After all, the $27 billion valuation also determines that OpenAI’s most advanced models will be used for commercial purposes, although the first two versions of GPT are open source.
A spokesperson for OpenAI did not respond to a request for comment.
Alpaca family open source explosion
Ten days ago, an internal document from Google leaked. In this article titled "We have no moat, and neither does OpenAI", the author laments the heavy blow that open source has dealt to Google and OpenAI.
Indeed, neither Google nor OpenAI seems to be the winner in this arms race, because the open source community is eating up the "benefits" that belong to them .
ChatGPT set off a global LLM revolution. However, OpenAI is not Open, and many companies and developers can only watch and worry.
At this time, Meta stepped forward and released LLaMA, bringing benefits to developers around the world.
Originally, Meta promised that LLaMA would be open source for non-commercial research use cases, but who would have thought that just one week after its release, the weight of LLaMA was suddenly leaked on 4chan. It sparked thousands of downloads instantly.
This "epic leak" directly changed the field of open source LLM. In just a few weeks, various ChatGPT replacements have exploded at lightning speed.
Alpaca, Vicuna, Koala, ChatLLaMA, FreedomGPT, ColossalChat... it can be called an explosion of the "alpaca family".
In fact, long before Yangtuo, the open source model had shattered OpenAI’s ambitions.
At that time, the newly released Dall-E 2 caused quite a stir on the Internet with its stunning Vincentian graphics effect.
However, when OpenAI was still trying to sell APIs, an open source alternative suddenly emerged - Stable Diffusion.
With the rapid rise of Stable Diffusion, Dall-E 2 was quickly forgotten by developers.
Open source big model, is it going to subvert the big companies in Silicon Valley?
UC Berkeley computer professor Ion Stoica is one of the scholars who used Meta's research to develop Vicuna.
To improve Vicuna's capabilities, Stoica and colleagues are working to increase the number of calculations in the model, which will help with tasks involving inference, such as writing code.
Vicuna was developed by a Berkeley team with an annual budget of millions of dollars, about $500,000 of which came from publicly traded companies including Microsoft, Google and Amazon.
Ion Stoica, a professor of computer science at UC Berkeley, said that the performance of the current free AI models is "quite close" to the proprietary models of Google and OpenAI, and there is no doubt that most developers will eventually choose free ones. Model.
On the one hand, open source models allow developers to use their own data to solve specific problems.
On the other hand, the training cost of a model like Vicuna can even be as low as a few hundred dollars, and there is no need to pay expensive usage fees to big manufacturers.
#https://www.php.cn/link/4d8bd3f7351f4fee76ba17594f070ddd
If Stoica is correct, open source AI will definitely subvert the business plans of major companies such as Google, OpenAI, and Microsoft that sell the rights to use proprietary models.
The quality of Vicuna and the Cambrian explosion of open source AI led Google engineer Luke Sernau to warn colleagues that Google was focusing too much on proprietary software in its efforts to catch up with OpenAI.
If free, high-quality alternatives have no usage restrictions, who will pay to use Google products with restrictions? Open source AI is outpacing us, and Google should establish its leadership in the open source community and relinquish some control of our models.
The memo quickly resonated throughout the industry—even if Sernau may have overestimated the capabilities of open source AI and underestimated their costs and risks, most Practitioners agree that Meta has great potential to benefit from this.
For example, Meta uses AI models internally for content recommendation and ad positioning. When developers improve Meta’s models, Meta can incorporate these improvements into its own internal AI.
Meta CEO Xiao Zha has been planning this for a long time.
In a conference call with analysts in April, he said this about the company’s strategy:
It would be better if the industry could standardize on the basic tools we use so we can benefit from others' improvements.
#Google does not adopt a completely proprietary approach to AI software.
Back in 2020, Google released T5, an open source language model that allows developers to build software that can perform translation and summarization tasks. Subsequently, Google released a more advanced Flan-T5.
But according to Stoica and other practitioners, the software released by Meta is able to significantly improve on Google’s model, which makes The possibility of developers choosing the Meta model is greatly increased.
However, Stoica said that Google still has two advantages in open source software.
1. If Google leverages its user data that is not open to the outside world, the model may perform better in certain specialized areas (such as content recommendation).
However, a Google spokesperson said that the company did not train its base model on existing user data.
2. The search company’s expertise in managing large-scale computer infrastructure means it can run models at lower costs, including for cloud customers.
At the same time, OpenAI has already gained a head start in collecting data on how millions of people interact with ChatGPT, which will further help OpenAI improve its AI software, not to mention its cooperation with Microsoft. protocol.
Is the prosperity of open source a "charity" from big manufacturers?
However, this kind of prosperity based on open source is unstable.
Most current open source still relies on giant models released by large companies with deep pockets. If OpenAI and Meta decide to shut down operations, the thriving open source community may become depressed.
#For example, many open source alternatives are now built based on Meta's LLaMA.
Other models use a large public dataset called Pile, compiled by the open source nonprofit EleutherAI.
EleutherAI exists because the openness of OpenAI means that a group of developers can reverse engineer how GPT-3 is made and then create their own models in their free time.
But everything can change.
OpenAI is no longer Open, and Meta is also considering restricting open source to prevent startups from using open source code to do bad things.
Joelle Pineau, executive director of Meta AI, said that opening the code to outsiders is the right thing to do now, but he is not sure that Meta will adopt the same strategy in the next five years.
If this trend of close continues, not only will the open source community be abandoned, but the next generation of AI breakthroughs will also return to the largest and least expensive AI laboratories. in hand.
Clearly, the future of how AI large models are manufactured and used is at a crossroads.
If OpenAI had been stingy, there would be no open source event today
Others are also weighing in. This kind of open source free competition brings greater returns. Or the risk is greater.
At the same time that Meta AI released LLaMA, Hugging Face launched an access control mechanism. Before downloading models on the platform, users must apply for access and obtain approval. This is to limit those who have People with legitimate reasons.
# "I'm not an open source evangelist," said Margaret Mitchell, chief ethics scientist at Hugging Face. "I can see the meaning of not being open source."
One drawback of the widespread use of large models is that it may lead to the proliferation of AI porn products.
Mitchell once worked at Google and founded the AI ethics team, and she is well aware of the risks of model abuse. Therefore, she favors Meta AI releasing models in a controlled manner.
At the same time, OpenAI is also turning off the tap. When GPT-4 was released, it did not announce details such as architecture (including model size), hardware, training calculations, data set construction, training methods, etc. The reason was "in view of the competitive landscape and security impact of large-scale models like GPT-4." .
This restriction reflects the change in OpenAI’s mentality. Co-founder and chief scientist Ilya Sutskever said OpenAI’s past openness was a mistake.
Sandhini Agarwal, policy researcher at OpenAI, said: “Before, if something was open source, maybe a small group of tinkerers would care. But now, the whole environment has changed. Open source is really It can accelerate development and lead to competition."
Going back three years, if OpenAI had adhered to the same principles when it announced the details of GPT-3, there would not have been the emergence of EleutherAI, and there would have been no vigorous open source innovation.
Today, EleutherAI plays a pivotal role in the open source ecosystem. Pile is used to train multiple open source projects, including Stability AI’s StableLM.
But with GPT-4, 5, and 6 being locked, the open source community may once again be left behind several large companies.
They will be stuck in the previous generation model, and if they want to make progress, they can only do it behind closed doors.
The above is the detailed content of Breaking news: OpenAI is about to open source a new model! Does the prosperity of the open source community depend entirely on the 'charity' of big companies?. For more information, please follow other related articles on the PHP Chinese website!

ai合并图层的快捷键是“Ctrl+Shift+E”,它的作用是把目前所有处在显示状态的图层合并,在隐藏状态的图层则不作变动。也可以选中要合并的图层,在菜单栏中依次点击“窗口”-“路径查找器”,点击“合并”按钮。

ai橡皮擦擦不掉东西是因为AI是矢量图软件,用橡皮擦不能擦位图的,其解决办法就是用蒙板工具以及钢笔勾好路径再建立蒙板即可实现擦掉东西。

虽然谷歌早在2020年,就在自家的数据中心上部署了当时最强的AI芯片——TPU v4。但直到今年的4月4日,谷歌才首次公布了这台AI超算的技术细节。论文地址:https://arxiv.org/abs/2304.01433相比于TPU v3,TPU v4的性能要高出2.1倍,而在整合4096个芯片之后,超算的性能更是提升了10倍。另外,谷歌还声称,自家芯片要比英伟达A100更快、更节能。与A100对打,速度快1.7倍论文中,谷歌表示,对于规模相当的系统,TPU v4可以提供比英伟达A100强1.

ai可以转成psd格式。转换方法:1、打开Adobe Illustrator软件,依次点击顶部菜单栏的“文件”-“打开”,选择所需的ai文件;2、点击右侧功能面板中的“图层”,点击三杠图标,在弹出的选项中选择“释放到图层(顺序)”;3、依次点击顶部菜单栏的“文件”-“导出”-“导出为”;4、在弹出的“导出”对话框中,将“保存类型”设置为“PSD格式”,点击“导出”即可;

ai顶部属性栏不见了的解决办法:1、开启Ai新建画布,进入绘图页面;2、在Ai顶部菜单栏中点击“窗口”;3、在系统弹出的窗口菜单页面中点击“控制”,然后开启“控制”窗口即可显示出属性栏。

Yann LeCun 这个观点的确有些大胆。 「从现在起 5 年内,没有哪个头脑正常的人会使用自回归模型。」最近,图灵奖得主 Yann LeCun 给一场辩论做了个特别的开场。而他口中的自回归,正是当前爆红的 GPT 家族模型所依赖的学习范式。当然,被 Yann LeCun 指出问题的不只是自回归模型。在他看来,当前整个的机器学习领域都面临巨大挑战。这场辩论的主题为「Do large language models need sensory grounding for meaning and u

引入密集强化学习,用 AI 验证 AI。 自动驾驶汽车 (AV) 技术的快速发展,使得我们正处于交通革命的风口浪尖,其规模是自一个世纪前汽车问世以来从未见过的。自动驾驶技术具有显着提高交通安全性、机动性和可持续性的潜力,因此引起了工业界、政府机构、专业组织和学术机构的共同关注。过去 20 年里,自动驾驶汽车的发展取得了长足的进步,尤其是随着深度学习的出现更是如此。到 2015 年,开始有公司宣布他们将在 2020 之前量产 AV。不过到目前为止,并且没有 level 4 级别的 AV 可以在市场

ai移动不了东西的解决办法:1、打开ai软件,打开空白文档;2、选择矩形工具,在文档中绘制矩形;3、点击选择工具,移动文档中的矩形;4、点击图层按钮,弹出图层面板对话框,解锁图层;5、点击选择工具,移动矩形即可。


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

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SublimeText3 Chinese version
Chinese version, very easy to use

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Dreamweaver CS6
Visual web development tools
