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Viewpoint from Aofei Temple
Quantum Bit｜Official Account QbitAI

With the rapid iteration of large models, the data challenges faced by enterprises are becoming more daunting.

As mentioned in the QuantumBit Think Tank's "China AIGC Data Labeling Industry Panorama Report", data labeling in the AIGC era has undergone four major changes:

• Changing requirements：Strongly related to industry scenarios, high-quality data needs are long-term and continuous
• Process side changes: Standards change from objective to subjective, high education and multi-field talent become hard indicators
• Business changes: Synthetic data is a new derivative track with huge potential market space
• Supply chain changes: The industry chain is reshuffled, and large model companies/AI companies are pouring in

What kind of high-quality data does the industry really need? How to achieve data annotation that takes into account both quality and efficiency?

EfficientIntelligent Data Engineering Platform(MooreData Platform), a complete set ofDataset building service(ACE Service) is the answer given by integer intelligence.

Recently, Integer Intelligence completed a round A financing of tens of millions of yuan, which was verified and recognized by the market.

Integer IntelligenceOriginated from the Institute of Computer Innovation Technology of Zhejiang University.

As an active participant in the data industry, we have not only created a series of data product tools and services, but also participated inMAP-NeoWe have built a high-quality bilingual open source model and released a bilingual dataset of 4.7T tokens.

The most representative industry solution proposed by Integer Intelligence is the one launched for intelligent driving scenarios.4D Annotation Tools. It can reconstruct the global map and track and mark objects in motion.

△ Integer intelligent 4D dynamic object annotation effect

August 21, 20:00, QuantumBit "365 AI Implementation Plan" invitedLiu Minghao, CTO of Integer Intelligence, let’s talk about 4D data annotation, open source datasets and embodied intelligence scenarios.

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Live Guests

Liu Minghao
Integer Intelligence CTO, Algorithm Director

He is an outstanding contributor to the China Artificial Intelligence Industry Development Alliance in 2022 and a core editor of the "Artificial Intelligence R&D and Operation Integration (Model/MLOps) Capability Maturity Model". He has led the construction of MLOps and multi-sensor loosely coupled pose calculation frameworks. He is currently mainly responsible for the 4D annotation of dynamic and static object perception projects, helping to improve data quality and speed up data delivery time.

About 365 AI implementation plans

The application of AI technology is not limited to the field of science and technology. It has penetrated into all walks of life and has become an important force in promoting industrial upgrading. Therefore, the theme planning of "365 AI Implementation Plans" came into being. We are looking for cases and plans for the successful application of AI technology in all walks of life and sharing them with more people in the industry.

August 21, 20:00Welcome to make an appointment for live broadcast and chat together~

WelcomeQuantumBit video account reservation live broadcast！