---
title: "Zhang Peng from Zhipu AI: Large models will create exponential value"
description: "In the past, AI technology has solved some practical problems, but the development of large models today brings more important human-like cognitive abilities"
type: "news"
locale: "en"
url: "https://longbridge.com/en/news/208132546.md"
published_at: "2024-07-06T09:34:07.000Z"
---

# Zhang Peng from Zhipu AI: Large models will create exponential value

> In the past, AI technology has solved some practical problems, but the development of large models today brings more important human-like cognitive abilities

"Large models can provide generalization capabilities on a single model, solving a variety of scenarios and applications' diverse needs, thus addressing the balance of costs and benefits, which is its essential feature."

At the industry development main forum of the World Artificial Intelligence Conference, Zhang Peng, CEO of Zhipu AI, stated that the current AI boom driven by large models is different from before. In the past, AI technology solved some practical problems, but the development of large models today brings more important human-like cognitive abilities.

Zhang Peng mentioned that in the past, AI lacked generality and was too costly. However, large models bring a new opportunity by providing generalization capabilities on a single model. This is also the main direction of empowering the real economy with the new generation of large model technology - transforming a structure where a large investment is made in a base but with minimal returns into an inverted pyramid structure, truly amplifying its value.

## **Zhipu AI's 4th Generation CodeGeeX Code Large Model CodeGeeX4-ALL-9B**

Landing the capabilities of large models to solve practical needs is what every large model manufacturer is currently actively working on.

On July 5th, Zheng Qinkai, the technical director of Zhipu AI CodeGeeX, released the 4th generation CodeGeeX code large model CodeGeeX4-ALL-9B.

The 4th generation CodeGeeX releases the most intelligent AI programming assistant for free use

CodeGeeX4-ALL-9B, as the open-source version of the latest generation CodeGeeX4 series models, continues to iterate on the powerful language capabilities of GLM-4, significantly enhancing code generation capabilities. Using the CodeGeeX4-ALL-9B single model, it can support comprehensive functions such as code completion and generation, code interpreter, online search, tool invocation, repository-level long code Q&A and generation, covering various programming development scenarios.

In performance on multiple authoritative code capability evaluation sets, it is the most powerful model below the scale of tens of billions of parameters, even surpassing several times the scale of general models, achieving the best balance in inference performance and model effectiveness.

Currently, the number of individual users of CodeGeeX has exceeded 1 million. CodeGeeX is currently completely free for individual users and can be freely downloaded and used in various mainstream IDEs.

Zhang Peng, CEO of Zhipu AI, also shared multiple innovative cases of GLM-4 in applications, especially breakthroughs in intelligent content generation, industry automation, and personalized custom services, demonstrating the value of GLM-4 in complex business environments.

"In the past few years, Zhipu's business practices have accumulated a lot of experience for us, not daring to say it is the best practice, but better practice," Zhang Peng said in his speech. The rapid progress in the capabilities of GLM-4 in intelligent bodies and tool invocation makes it possible to implement native AI architecture within the enterprise.

## **GLM** **Base Large Model with 9 Major Application Scenarios Unveiled**

At this event, Zhipu AI also showcased a series of innovative achievements centered around the Zhipu big model open platform bigmodel.cn and the Zhipu big model product matrix.

As the highlight of this WAIC, the Zhipu big model open platform bigmodel.cn is the best way to experience the Zhipu GLM series of large models. The newly upgraded bigmodel.cn has already integrated the latest GLM large model suite, and new features such as one-click fine-tuning and All Tools API invocation have also been launched.

Whether you are a technical geek, a professional engineer, or a company seeking large model capabilities, you can find products and services suitable for you on the platform. Currently, bigmodel.cn has more than 400,000 enterprise customers and developers, with a daily average call volume of 60 billion Tokens, and API daily consumption has increased by more than 90 times in the past 4 months.

As a concentrated display of the achievements of bigmodel.cn applications, the "Zhipu Town" appeared in the C position of the exhibition stand. The town gathers typical cases from various industry scenarios such as public affairs, consumption, culture and tourism, healthcare, insurance, education, automotive, finance, and industry. Based on the capabilities of the Zhipu big model, the new generation of intelligent driving, intelligent investment assistant and financial report Copilot, provident fund consultation assistant, intelligent diagnosis, travel intelligent body, and other diversified intelligent services are provided to users and enterprises.

Zhipu AI also created a digital human live platform for CGTN, and AI Lao Luo also appeared in the form of a digital human in the Qingyan exhibition area, where the audience could ask AI Lao Luo for tips on live streaming. In addition, the AI creative work "Qingyan Album" first issue also made its debut on the scene. This AI album themed "Qing" showcases the powerful drawing capabilities of the Qingyan App. The audience can view the scroll through the Qingyan album mini-program and can draw the same with one click Building products that can fully expand users' imagination, and based on large-scale model technology, turning imagination into tangible productivity. This is the answer from Zhipu AI to the question "From imagination to productivity"

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> **Disclaimer**: This article is for reference only and does not constitute any investment advice.
