


Zhao Ming: Honor will be able to deploy a 7B device-side AI large model on a 12GB memory phone and ensure a smooth experience
On April 24, Wall Street News reported that Honor CEO Zhao Ming revealed that Honor will be able to deploy a large AI model with a parameter scale of 7B (7 billion parameters) on the end-side of a 12GB memory smartphone in 2024.
Zhao Ming said that Honor’s platform-level AI technology can achieve ultra-high compression rates for large LLM models on the device side. The 7B model can start quickly on 12GB memory devices while ensuring that users’ commonly used application experience is not affected. According to previous reports, at the Honor MagicOS 8.0 conference held in January, Zhao Ming unveiled Honor’s self-developed 7 billion parameter platform-level AI model “Magic Model” on the device side, which was first launched by the Honor Magic 6 mobile phone.





The above is the detailed content of Zhao Ming: Honor will be able to deploy a 7B device-side AI large model on a 12GB memory phone and ensure a smooth experience. For more information, please follow other related articles on the PHP Chinese website!

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

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

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



On May 30, Tencent announced a comprehensive upgrade of its Hunyuan model. The App "Tencent Yuanbao" based on the Hunyuan model was officially launched and can be downloaded from Apple and Android app stores. Compared with the Hunyuan applet version in the previous testing stage, Tencent Yuanbao provides core capabilities such as AI search, AI summary, and AI writing for work efficiency scenarios; for daily life scenarios, Yuanbao's gameplay is also richer and provides multiple features. AI application, and new gameplay methods such as creating personal agents are added. "Tencent does not strive to be the first to make large models." Liu Yuhong, vice president of Tencent Cloud and head of Tencent Hunyuan large model, said: "In the past year, we continued to promote the capabilities of Tencent Hunyuan large model. In the rich and massive Polish technology in business scenarios while gaining insights into users’ real needs

Tan Dai, President of Volcano Engine, said that companies that want to implement large models well face three key challenges: model effectiveness, inference costs, and implementation difficulty: they must have good basic large models as support to solve complex problems, and they must also have low-cost inference. Services allow large models to be widely used, and more tools, platforms and applications are needed to help companies implement scenarios. ——Tan Dai, President of Huoshan Engine 01. The large bean bag model makes its debut and is heavily used. Polishing the model effect is the most critical challenge for the implementation of AI. Tan Dai pointed out that only through extensive use can a good model be polished. Currently, the Doubao model processes 120 billion tokens of text and generates 30 million images every day. In order to help enterprises implement large-scale model scenarios, the beanbao large-scale model independently developed by ByteDance will be launched through the volcano

1. Background Introduction First, let’s introduce the development history of Yunwen Technology. Yunwen Technology Company...2023 is the period when large models are prevalent. Many companies believe that the importance of graphs has been greatly reduced after large models, and the preset information systems studied previously are no longer important. However, with the promotion of RAG and the prevalence of data governance, we have found that more efficient data governance and high-quality data are important prerequisites for improving the effectiveness of privatized large models. Therefore, more and more companies are beginning to pay attention to knowledge construction related content. This also promotes the construction and processing of knowledge to a higher level, where there are many techniques and methods that can be explored. It can be seen that the emergence of a new technology does not necessarily defeat all old technologies. It is also possible that the new technology and the old technology will be integrated with each other.

According to news on August 4, Honor has recently launched public testing of version 18.0.18.201 of the Game Manager App. The new version mainly revamps the app UX and adds a new butler barrage notification function. According to reports, the butler barrage notification function brought by this update requires users to upgrade to MagicOS 9.0 system to experience it. According to the actual test, the design style of the public beta version of Honor Game Manager has been optimized, and the application function buttons have been rearranged. The official version of the game manager has 2 functions in a row, and the public beta version has increased to 3 functions. At the same time, the color of the function buttons in the application floating window can be adjusted according to the current Switch the game mode (Balance/Performance) the phone is in. In addition, the public beta version of Honor Game Manager will also merge the application window with the game shortcut function bar, and leave a blank design between functions to improve application integration.

According to news on June 13, according to Byte's "Volcano Engine" public account, Xiaomi's artificial intelligence assistant "Xiao Ai" has reached a cooperation with Volcano Engine. The two parties will achieve a more intelligent AI interactive experience based on the beanbao large model. It is reported that the large-scale beanbao model created by ByteDance can efficiently process up to 120 billion text tokens and generate 30 million pieces of content every day. Xiaomi used the beanbao large model to improve the learning and reasoning capabilities of its own model and create a new "Xiao Ai Classmate", which not only more accurately grasps user needs, but also provides faster response speed and more comprehensive content services. For example, when a user asks about a complex scientific concept, &ldq

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

So far, no product in the AI wearable device track has achieved particularly good results. AIPin, which was launched at MWC24 at the beginning of this year, once the evaluation prototype was shipped, the "AI myth" that was hyped at the time of its release began to be shattered, and it experienced large-scale returns in just a few months; RabbitR1, which also sold well at the beginning, was relatively It's better, but it also received negative reviews similar to "Android cases" when it was delivered in large quantities. Now, another company has entered the AI wearable device track. Technology media TheVerge published a blog post yesterday saying that AI startup Plaud has launched a product called NotePin. Unlike AIFriend, which is still in the "painting" stage, NotePin has now started

According to news on July 29, Honor has now launched the third wave of MagicOS 8.0 upgrade push, adding new functions such as AI elimination and camera watermark editing, covering more than 40 models such as Magic6 series and X50 series. The details of this update are as follows: The function update camera/gallery adds an AI elimination function, which can intelligently eliminate passers-by, debris, etc. in photos, and save waste photos with one click. Added camera watermark editable function, you can add and restore watermarks by yourself. Added camera 16:9 shooting ratio size. Three new camera image color styles, natural, vivid and texture, have been added. A new time-lapse photography professional mode menu and time-lapse templates for different scenes have been added to optimize the time-lapse photography function. Wisdom adds smart object recognition and smart shopping functions. Added YOYO morning report function. Newly added smart capsule beauty
