


Serves 80,000 enterprise users, has helped users fine-tune 13,000 large models, and helped users develop 160,000 large model applications. Since December 2023, Baidu Intelligent Cloud Qianfan Large Model Platform API daily calls increased by 97% month-on-month... From the "pioneer" of the domestic large model platform a year ago to the large model "super factory" today, Baidu Smart Cloud Qianfan large model platform firmly occupies the domestic large model market He was in the lead, but his running pace did not stop.
On March 21, Baidu Intelligent Cloud held a Qianfan product launch conference in Beijing Shougang Park. Baidu Intelligent Cloud announced during the conference:
1. Join hands with Beijing’s Shijingshan District to build the country’s first Baidu Intelligent Cloud Qianfan large-scale model industrial innovation base to boost the regional industry’s take-off;
2. To meet the core demands of enterprises for “cost-effectiveness”, Qianfan ModelBuilder large model services have been fully upgraded, with 3 lightweight large models and 2 vertical scene large models newly released;
3 , significantly lowering the threshold for AI native application development, and Qianfan AppBuilder component capabilities have been fully upgraded.
(Baidu Intelligent Cloud Qianfan Large Model Industry (Beijing) Innovation Base Starts Construction)
During the event, Cao Shihui, a member of the Shijingshan District Government Party Committee and Deputy District Mayor, Cui Mingming, Deputy Director of the Zhongguancun Shijingshan Park Management Committee, Xie Guangjun, Baidu Vice President, and Shi Qinghua, Baidu Vice President, launched the country's first The launching ceremony of Baidu Intelligent Cloud Ganfan Large Model Industry (Beijing) Innovation Base.
The innovation base is committed to promoting the deep integration of large model technology and industrial innovation. The two parties will focus on improving the supply of computing power, optimizing model algorithms, and promoting data openness , create demonstration scenes, deepen talent introduction and education, etc., and the government and enterprises will work together to create a new highland for the artificial intelligence industry. Deputy District Governor Cao Shihui said that Shijingshan District will work hand in hand with Baidu to focus on the research and development and innovative application of artificial intelligence and large model technology, build and improve the AI industrial ecosystem, provide support for regional digital transformation and industrial intelligent upgrading, and provide support for new quality productivity. Cultivation and development are infused with surging momentum.
(Baidu Vice President Xie Guangjun)
2023 , large models have shown explosive growth on a global scale, and the "Battle of 100 Models" has started in China. Countless large technology manufacturers and scientific research institutes have focused on the "ontology" of large models and are "involving" crazily.
Xie Guangjun, Vice President of Baidu, said that large model technology has developed rapidly in the past year. With its gradual implementation in thousands of industries, 2024 will be the first year for the explosion of domestic large model industry applications. In response to the four major challenges that enterprises are most concerned about, including large model implementation scenarios, usage costs, application development, and application effects, Baidu Intelligent Cloud Qianfan has provided the latest "problem-solving ideas" in two aspects: large models and AI native application development.
Baidu Intelligent Cloud Qianfan large model platform releases "3 2" new model package: improving the "cost-effectiveness" of enterprise application large models ”
The effect of large models is the unremitting pursuit of the “technical school”, while economic benefits are the ultimate goal of the “market school”. In communicating with customers in many industries, Xie Guangjun found that except for a few large customers who pursue the ultimate effect of large models, more companies and institutions often need to comprehensively consider the use effect, performance and cost of large models, that is, "valency" Compare". This time, the Qianfan platform’s model matrix has undergone a series of upgrades in response to the company’s core appeal of “cost-effectiveness”.
(Baidu Intelligent Cloud Qianfan Large Model Platform Model Matrix)
Wenxin large model ERNIE 3.5 is currently one of the most popular basic large models on Baidu Intelligent Cloud Qianfan large model platform. For users' common dialogue scenarios, ERNIE 3.5 has enhanced its capabilities in three aspects: instruction following, context learning and logical reasoning capabilities. The upgraded ERNIE 3.5 has significantly improved application performance by 24%, 27% and 22% in three major enterprise application scenarios, such as copywriting creation, information extraction and tool invocation.
#Secondly, compared to large models with very large parameters, lightweight large models have smaller parameters, making it easier for customers to target specific usage scenarios. Fine-tuning the model makes it easier to achieve expected results and save more costs. At this conference, Baidu Intelligent Cloud released three lightweight models including ERNIE Speed, ERNIE Lite, and ERNIE Tiny, with parameters ranging from large to small, to help customers achieve "reduce volume without reducing efficiency" and save unnecessary costs. invest.
Specifically, ERNIE Speed, as the "big one" among the three lightweight large models, has up to 128k context in inference scenarios. Length, when dealing with tasks such as knowledge question and answer, can better handle context dependencies and generate more coherent and accurate predictions or answers. At the same time, ERNIE Speed can be used as a base model for fine-tuning for specific scenarios. The model effect can equal or even exceed the flagship large-parameter large-scale model, and the cost-effectiveness is greatly improved.
Compared with ERNIE Speed, ERNIE Lite has smaller parameters and is more suitable for processing inference on AI accelerator cards with low computing power. Tasks, while taking into account the model effect and inference performance, greatly reduce the cost of customer landing application. As an upgraded version of the ERNIE-Bot-turbo model, ERNIE Lite's application effects in scenarios such as sentiment analysis, multi-task learning, and natural reasoning have improved by 20%. The cost of inference calls has dropped significantly by 53%!
ERNIE Tiny, which has the smallest number of parameters among the three lightweight models, provides customers with the best choice for ultimate low cost and low latency. In high-concurrency, low-latency application scenarios such as retrieval, recommendation, and intent recognition, ERNIE Tiny's excellent performance shows outstanding performance. In a certain dialogue recommendation business scenario, the fine-tuned ERNIE Tiny increased the number of dialogue rounds by 3.5% and reduced the cost by 32% compared with ERNIE 3.5 in stimulating search engine recommended words.
#In addition, enterprises have higher requirements for the effects of large models in character playing and external tool calls in practical applications. This Qianfan large model platform ModelBuilder also launched two vertical scene large models, ERNIE Character and ERNIE Functions, based on in-depth insights into enterprise scenarios and Baidu's own business best practices, to adapt to customers' role-playing application scenarios ( Such as game NPC, customer service dialogue, etc.) and tool calling scenarios (using external tools in dialogue, calling business functions, etc.).
#In corporate practice, a smart hardware manufacturer created an intelligent assistant based on ERNIE Character. After applying this model, it improved character consistency, motivation and The effect of improving users' desire to chat has been significantly improved. A travel and travel APP uses ERNIE Functions to create an intelligent customer service assistant, with an accuracy of 85% in executing multiple function calls such as booking tickets and checking flight status.
##Qianfan AppBuilder fully upgraded: significantly lowering the threshold for AI native application development
QianfanAppBuilder, as an industrial-grade AI native application development platform, is an important part of Qianfan. The bottom layer of AppBuilder is composed of large model components based on Baidu's years of technology and practical experience, basic components of AI capability components, and a series of advanced components that are in-depth tuned and constructed for typical application scenarios. Basic components and advanced components jointly support the Agent. On the one hand, more complex business logic can be implemented through workflow orchestration. On the other hand, the Agent also has strong autonomous task planning capabilities and can understand user intentions and automatically plan execution paths to achieve multi-tool integration. Automated orchestration and execution. These capabilities are provided through two development methods, zero-code state and code state, to better match the needs of different developers.
After the development is completed, the application can be distributed and integrated through multiple channels. AppBuilder supports one-click distribution of applications to WeChat customer service, WeChat official accounts, and the Web. /H5 and Baidu Lingjing Matrix and other mainstream channels. Based on the Baidu Spiritual Realm Matrix, applications can be distributed and mounted in mainstream scenarios such as Baidu search and Baidu information flow. Once the application is truly developed, it will directly reach users and open up the entire process from AI native application creation to development to distribution.
(Baidu Intelligent Cloud Qianfan AppBuilder)
The upgraded AppBuilder has as many as 55 open tool components. It includes large model components and AI capability components based on Baidu's years of technology accumulation and its own business accumulation, as well as Baidu-specific business components such as search, and third-party API tools for multiple scenarios. In addition, it also provides RAG (knowledge retrieval question and answer), Advanced capability components such as GBI (Generative Data Analysis) that are in-depth tuned according to typical application scenarios.
Developing AI native applications is inseparable from cloud infrastructure. The basic components released this time also include Baidu Smart Cloud’s newly launched vector database VDB 1.0. Vector database is an indispensable core component of knowledge base for enterprises. It provides a powerful solution to the performance bottlenecks, maintenance challenges and scale limitations encountered by traditional knowledge base question and answer systems. The newly released Baidu vector database VDB 1.0 not only integrates comprehensive operation and maintenance control and security protection capabilities, but is also compatible with mainstream ecosystems such as Qianfan and LangChain, which can help enterprises easily manage tens of millions of document knowledge and support up to 100 Billion vector storage scale and millisecond-level vector retrieval speed. At the same time, compared with similar open source products, the performance of VDB 1.0 is improved by up to 10 times.
On top of the components, the Agent (intelligent) application framework launched by Qianfan AppBuilder has precise independent task planning capabilities and is suitable for a variety of applications. The tool's automatic orchestration accuracy exceeds 90%, and this number is still improving. AppBuilder also supports developers to access custom tools and combine automatic orchestration with manual orchestration to customize the needs of more complex scenario applications. The code interpreter capability within the Agent framework has also significantly improved performance by 40% in this upgrade, and the acceptance rate of generated results in complex data analysis scenarios is as high as 95%, making it easy to cope with various data analysis and information processing scenarios. .
In addition, AppBuilder’s code-based development tools are also a new addition. AppBuilder SDK releases Agent API this time, allowing developers to easily integrate Agent into their business systems. At the same time, AppBuilder SDK provides a wealth of application examples for mainstream AI native application scenarios. It is currently open source on Github and supports various applications. Flexible orchestration with free call of components helps developers realize secondary development and convenient integration of applications.
At the conference, it was also demonstrated how to build an "English composition helper" Agent (intelligent (body) application, just enter the application name or the application function you want to develop in AppBuilder, and the platform can automatically generate the application. By simply adjusting the role instructions and adding the required tool components, you can quickly generate an English composition correction assistant. You can use it directly after publishing, and complete application creation and distribution in three steps.
(Create an English composition correction assistant in 1 minute)
In the view of Baidu Intelligent Cloud, with the continuous evolution and breakthrough of large model technology, the adaptation of engineering practice and user needs is becoming increasingly important. Only by going deep into the scenario, discovering and responding to the real needs of customers is the best way to release the dividends of innovative technology.
The above is the detailed content of Baidu Intelligent Cloud Qianfan large model platform has been upgraded again: 5 large models and 55 new tool components have been released!. For more information, please follow other related articles on the PHP Chinese website!

简单易懂的Java海康SDK二次开发指南引言:随着摄像监控技术的发展,海康威视已成为全球领先的安防解决方案供应商之一,其提供的SDK(软件开发工具包)为开发人员提供了丰富的功能和接口,用于二次开发和定制化开发。本文将介绍如何使用Java语言进行海康SDK的二次开发,并提供一些代码示例,以帮助读者更好地理解和应用。一、环境准备首先,在进行海康SDK二次开发之前

服务8万企业用户,累计帮助用户精调1.3万个大模型,帮助用户开发出16万个大模型应用,自2023年12月以来百度智能云千帆大模型平台API日调用量环比增长97%...从一年前国内大模型平台的“开路先锋”到如今的大模型“超级工厂”,百度智能云千帆大模型平台在国内大模型市场牢牢占据着领先身位,但奔跑的脚步却并未停歇。3月21日,百度智能云在北京首钢园召开千帆产品发布会,百度智能云在大会期间宣布:1、携手北京市石景山区,共建全国首个百度智能云千帆大模型产业创新基地,助推区域产业腾飞;2、满足企业“效价

概述为了使ModelScope的用户能够快速、方便的使用平台提供的各类模型,提供了一套功能完备的Pythonlibrary,其中包含了ModelScope官方模型的实现,以及使用这些模型进行推理,finetune等任务所需的数据预处理,后处理,效果评估等功能相关的代码,同时也提供了简单易用的API,以及丰富的使用样例。通过调用library,用户可以只写短短的几行代码,就可以完成模型的推理、训练和评估等任务,也可以在此基础上快速进行二次开发,实现自己的创新想法。目前library提供的算法模型,

提升Java海康SDK二次开发技能的关键要素摘要:随着物联网的快速发展,视频监控系统在安防领域的应用越来越广泛。而作为视频监控系统中最重要的组成部分,海康威视(Hikvision)的SDK在二次开发过程中扮演着重要的角色。本文将介绍海康SDK的基本使用方法,并提供一些关键要素和代码示例,以帮助读者提升Java海康SDK二次开发技能。一、了解海康SDK的基本概

WordPress 二次开发允许开发人员定制和扩展 WordPress 功能,创建满足特定需求的附加功能、主题和插件。通过二次开发,开发人员可以定制 WordPress,扩展其核心功能,增加其灵活性,并随着网站和业务的发展轻松扩展其可扩展性。

WordPress是什么?详解这个流行的网站建设工具WordPress是一个开放源码的内容管理系统(CMS),最初是为博客而设计,但随着发展逐渐成为了全球最流行的网站建设工具之一。它使得网站的创建变得简单易行,不仅适用于个人博客,还广泛应用于企业网站、电子商务平台、新闻网站等各种类型的网站。作为一个开源软件,WordPress拥有一个强大的社区支持和全球化的

MyBatis是一种流行的持久化框架,它提供了逆向工程的功能,这使得开发人员可以根据数据库中的表结构自动生成实体类、Mapper接口和XML映射文件。逆向工程是MyBatis的一个重要特性,它可以大大减少开发人员的工作量,并提高代码的可维护性。然而,逆向工程也有一些限制,本文将介绍MyBatis逆向工程的优势和限制,并通过具体的代码示例加以说明。首先,让我们

2023年初崛起为科技领域最亮的星,展示了凯AI技术变革经济社会的巨大潜能。经过一年多的技术突破和市场验证,进入2024年,大模型的巨大价值已经得到主流国家的共识,主流科技公司纷纷布局。美国、中国等国家,正处于引领大模型产业发展的未来。在国内科技公司中,率先发布文心大模型的百度,已经取得了不凡成果。在今日举办的Create2024百度AI开发者大会上,百度创始人、董事长兼首席执行官李彦宏在主题演讲中透露,文心一言用户数突破2亿,文心大模型成为中国最领先、应用最广泛的AI基础模型。与此同时,李彦宏


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),

SublimeText3 Linux new version
SublimeText3 Linux latest version

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

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

Dreamweaver CS6
Visual web development tools
