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HomeTechnology peripheralsAICloud measurement data is released for large model AI data solutions for vertical industries to promote the implementation of large models

As the country’s “dual circulation” strategy continues to advance, a new generation of information technology is booming in our country, and the industrialization process of artificial intelligence continues to accelerate. In this context, large models emerged and rose rapidly, becoming an important direction in the development of current artificial intelligence technology. On September 6, at the 2023 China International Fair for Trade in Services, Yunmei Data, the leading domestic AI training data head service provider, officially released a large-model AI data solution for vertical industries. This means that as large model technology achievements continue to emerge, cloud measurement data is determined to solve data problems in the application process of large models, provide reliable support for large models with a newly upgraded data service system, and help my country's large model capabilities to achieve comprehensive upgrade.

云测数据面向垂直行业大模型AI数据解决方案发布 助推大模型落地

With the acceleration of the construction of new infrastructure such as 5G and edge computing, as well as the widespread application demand for artificial intelligence in fields such as autonomous driving, smart medical care, and intelligent manufacturing, large models, as a key direction for the development of current artificial intelligence technology, are leading the industry. transformational and far-reaching impact.

At the same time, large models also face problems such as high training costs, single application scenarios, and lack of high-quality segmented field data. Among them, how to obtain enough data for model training and optimization for different application scenarios is an important link in promoting the implementation of large models. To this end, the ability to acquire and process massive amounts of high-quality data will directly affect an organization's competitiveness in large model technology.

In order to cope with the challenges faced by enterprises in terms of data, such as insufficient data, inability to guarantee data quality, and difficulty in data management, Cloud Test Data launched last year based on years of accumulated industry experience and forward-looking judgments on industry development. Data solutions for AI engineering applications effectively solve problems such as algorithm iteration and data flow in engineering applications. Based on this, Cloud Test Data has further launched an AI data solution for large models in vertical industries to meet the characteristics and application needs of large models, and provide services covering the entire life cycle of data

Cloud measurement data vertical industry large model AI data solution can help enterprises quickly obtain diversified training data, efficiently complete data annotation, establish a unified and standardized data management system, output standardized data sets that can be directly used for model training, and provide End-to-end full-process data services, etc., to meet the needs of continuous iteration of large models and accelerate the application of models in actual scenarios.

Specifically, cloud measurement data, with its professional capabilities in data collection and rich data resources, can efficiently obtain large-scale and diverse high-value data required for different scenarios (such as images, videos, texts, etc.). Provide a reliable source of scene data for enterprises' large-scale model training. At the same time, when facing fine-tuning tasks, based on the actual application scenario characteristics of large-scale models, we provide relevant capability support including text-based task projects such as QA-instruct and prompt and multi-modal large-scale models. After the fine-tuning is completed, cloud measurement data is accumulated through personnel and experts in vertical fields, as well as evaluation systems and services, to help enterprises evaluate various vertical application fields. Through the data annotation platform with the integrated data base as the core, difficult case data is returned for cleaning and annotation, preparing for more efficient model tuning, and achieving high-quality delivery with an annotation accuracy of up to 99.99%, helping enterprises in Improve the performance of large-scale model applications at the data level and gain core competitiveness

Over the years, Cloud Test Data has been committed to promoting the high-quality development of the artificial intelligence industry through technological innovation and service empowerment, and has actively explored and formulated standards in multiple fields to lead the transformation of the industry

In 2020, Cloud Test Data released a project called "No Data, No AI Cloud Test Data Service Results" at the China International Fair for Trade in Services. The project's highest delivery accuracy reached 99.99%, setting a new quality standard in the industry. Subsequently, Cloud Measurement Data also launched a new generation of data solutions for AI engineering, which helps improve data flow efficiency and accelerate model development. In terms of autonomous driving data services, Cloud Test Data has built an end-to-end one-stop solution, which greatly shortens the data collection cycle, improves data annotation efficiency, and helps the industry reduce costs and increase efficiency. In addition, Cloud Measurement Data also participated in the preparation of standards such as "Intelligent Connected Vehicle Lidar Point Cloud Data Annotation Requirements and Methods", which helps standardize the annotation methods and content of data in different scenarios

In the new round of scientific and technological revolution and industrial transformation, large models are an important technical direction, but they are faced with problems such as insufficient training data and limited application scenarios, which need to be solved urgently. Cloud Test Data has launched a large model data solution for vertical industries, providing key support for large model applications in the industry. We believe that with the joint efforts of Yunmei Data and other enterprises, my country's large model training effect and commercialization level will be greatly improved, truly realizing an industrialization leap from concept to practical application

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