


Wang Haifeng, chief technology officer of Baidu and director of the National Engineering Research Center for Deep Learning Technology and Applications, announced an exciting announcement at the 10th WAVE SUMMIT Deep Learning Developer Conference News - the number of users of "Wen Xin Yi Yan" has exceeded 100 million. He delivered a keynote speech at the meeting with the theme of "Wenxin plus flying paddle, flying to the stars", and shared the latest achievements of flying paddle and Wenxin.
##The number of flying paddle developers has reached 10.7 million
WAVE SUMMIT Deep Learning Developer Conference has been held since April 2019. It is held twice a year and has been held five times and ten times so far.
In the past five years, Baidu Conference has been committed to predicting the development trends of artificial intelligence technology and industry, and providing guidance for technological innovation and industrial practice. At the first conference in 2019, Wang Haifeng proposed the view that the deep learning framework is the operating system of the intelligent era. The universal characteristics of deep learning and the development of deep learning frameworks and platforms have promoted the standardization, automation and modularization of artificial intelligence, making it an important driving force in the industrial mass production stage. In 2020, Wang Haifeng proposed the idea of building a new AI infrastructure. By combining cloud computing and artificial intelligence, he will accelerate the intelligentization process of the industry and lay a solid foundation for the intelligentization of the industry. In 2021, Wang Haifeng said that artificial intelligence shows the characteristics of "integrated innovation" and "lowering the threshold". On the one hand, more and more AI technologies and industries are integrating innovation; on the other hand, although AI technology is becoming more and more complex, the threshold for AI development and application is getting lower and lower. In 2022, Wang Haifeng further proposed that the deep learning platform combined with large models has realized the integration of the entire industry chain from hardware adaptation, model training, inference deployment to scene application, laying a solid foundation for industrial intelligence. This year, the emergence of large language models has brought hope for general artificial intelligence.
Over the past five years, in the process of continuous technological innovation and industry-enabling development, Fei Paddle itself has also been continuously upgraded, from a deep learning framework to a platform ecosystem, developing into a technology-leading, A feature-rich, industrial-grade deep learning open source open platform. Fei Paddle integrates the core framework, basic model library, development kit, tool components, and the Galaxy community to help developers grow. It has a deep learning framework with unified dynamic and static, end-to-end adaptive large-scale distributed training, cloud-edge end-to-end comprehensive Key core technologies such as scene high-performance reasoning.
The Flying Paddle ecosystem is becoming more and more prosperous. In 2019, the number of developers gathered on the Flying Paddle platform was 1.5 million. By the Wave Summit in August this year, it had reached 8 million, and the number of companies served , the number of models created based on flying paddles is also growing rapidly. Wang Haifeng announced the latest achievements of Fei Paddle ecology on site. As of the end of December 2023, Fei Paddle has gathered 10.7 million developers, served 235,000 enterprises and institutions, and created 860,000 models based on Fei Paddle.
##Wen Xinyiyan’s user base has exceeded 100 million, and the number of daily questions has grown rapidly
It is understood that Baidu has been deeply involved in the research and development of pre-training models since 2019 and released Wenxin Large Model 1.0. After nearly four years of accumulation, Baidu took the lead among global technology companies in launching the knowledge-enhanced large language model Wen Xin Yiyan in March this year. In October, Wen Xinyiyan's basic model was upgraded to 4.0, and the four basic artificial intelligence capabilities of understanding, generation, logic and memory were comprehensively improved. The overall effect of Wenxin Large Model 4.0 has improved by 32% in the past two months.
Wang Haifeng finally said that after five years of hard work, we have worked hard together with all developers and worked tirelessly. With the support of Feipiao and Wenxin, we are willing to continue to cooperate with all developers to jointly explore the future of general artificial intelligence. Let us join hands and embark on the journey to the stars and the sea!
The above is the detailed content of Baidu CTO Wang Haifeng: The number of Wenxinyiyan users exceeds 100 million. For more information, please follow other related articles on the PHP Chinese website!

PHP连接百度文心一言API获取特定类型句子并进行情感分析的实现方式介绍百度文心一言是一款提供中文句子的API接口,可以根据特定类型,如励志、爱情、友情等等,获取相应的句子。这篇文章将介绍如何使用PHP连接百度文心一言API,并通过调用百度情感分析API对句子进行情感分析。准备工作在开始之前,我们需要进行一些准备工作:注册百度开发者账号,并创建一个应用,获取

5月9日消息,据IT之家网友投稿,百度搜索近日开始小范围公测生成式AI“对话”功能,该功能基于百度的文心一言大语言模型。该产品基于百度知识增强大语言模型文心一言打造,对标微软搜索引擎必应整合OpenAI公司ChatGPT服务后的NewBing。另据品牌公关实验室的消息,百度AI对话目前的测试渠道为百度主站及百度App,独立网址为Chat.Baidu.com,使用该服务的用户需拥有并登录百度账号。目前,未被纳入测试范围的用户无法正常访问该网址,进入页面后将显示“404NotFound”,且在访问百

PHP如何对接百度文心一言接口?百度文心一言接口是一个提供随机返回一句文心话的接口,使用起来非常简单。本文将介绍PHP如何对接百度文心一言接口,并提供代码示例。首先,我们需要申请百度文心一言接口的访问权限。在百度开放平台上创建一个应用,并获取到相应的APIKey。接下来,我们可以使用PHP中的cURL库来发送HTTP请求并获取接口返回的数据。下面是一个简单

将文心一言发布时间定在3月16日的百度,没能预料到会遭到来自OpenAI、谷歌、微软的轮番轰炸:先是3月15日凌晨,OpenAI发布大型多模态Transformer模型GPT-4;紧接着,宣布开放大规模语言模型PaLM的API接口,并推出面向开发者的工具MakerSuite;文心一言发布之后,巨头们也并没有歇着,3月16日晚间,微软更是发布由AI驱动的办公神器Microsoft 365 Copilot,号称让Word、PPT、Excel、OutLook、协同办公软件的生产力都飙增。文心一言对标C

5月4日消息,李彦宏在百度内部活动中表示,有人说百度错失了做出ChatGPT的机会,但谷歌多花了4000万美元,也没能做出ChatGPT。此前ChatGPT首席科学家伊利亚·萨特斯基弗(IlyaSutskever)曾成立了一个小公司,百度、微软、谷歌都曾争抢这个人才,最终谷歌以4400万美元抢到。李彦宏还提到此前关于与ChatGPT差距两个月的说法,“我当时后面还有一段话,就是这两个月的差距要多久才能赶上?这取决于我们的努力,有可能能赶上,但也有可能一直追不上。”延伸阅读:李彦宏谈文心一言:对标

本站7月5日消息,百度在6月28日的WAVESUMMIT深度学习开发者大会上发布了全新的文心大模型4.0Turbo版本。相较于文心大模型4.0版本,Turbo应答速度更快、检索能力更强。在今日的2024世界人工智能大会上,百度副总裁谢广军表示,文心一言4.0Turbo已正式面向企业全面开放,定价是输入0.03元/千Tokens,输出0.06元/千Tokens,“若按照3:1输入输出长短统计下,相较于文心一言4.0的通用版本降价幅度达70%。”百度表示,在强大的基础大模型基础上,文心大模型进一步创

本站10月17日消息,今日百度创始人、董事长兼首席执行官李彦宏在百度世界2023上正式发布文心大模型4.0,并开启邀请测试。李彦宏称这是迄今为止最强大的文心大模型,实现了基础模型的全面升级,在理解、生成、逻辑和记忆能力上都有着明显提升,综合水平“与GPT-4相比毫不逊色”。此外,李彦宏还宣布,百度搜索已经基于AI大模型完成重构,新搜索具有极致满足、推荐激发和多轮交互三个特点。不仅提升了搜索质量,而且突破了搜索的应用范围、扩大了产品边界。他强调说,生成式AI与搜索是天作之合。本站注意到,除了搜索,

豆包和文心一言,分别是字节跳动和百度推出的两款备受关注的AI助手。豆包凭借其多模态生成能力,可将文本创作拓展至图像生成,并且与抖音等平台深度融合,方便内容分享。文心一言则以文本创作见长,在中文语境理解方面更胜一筹。在操作便捷性方面,豆包以简洁的界面设计脱颖而出。未来,随着技术发展,豆包有望在AI助手领域大放异彩。


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

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

Dreamweaver Mac version
Visual web development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

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

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.
