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'Prospects for the Global Transformation of Artificial Intelligence: The Jumping Point is Coming (2023)': High-quality data is becoming increasingly scarce
'Prospects for the Global Transformation of Artificial Intelligence: The Jumping Point is Coming (2023)': High-quality data is becoming increasingly scarce
The rapid development of artificial intelligence technology has had a significant impact on the production and lifestyle of human society. The application scenarios of artificial intelligence are becoming increasingly rich, and AI technology has been applied in many fields such as finance, medical care, manufacturing, transportation, education, and security. "Prospects for the Global Transformation of Artificial Intelligence: The Jumping Point is Coming (2023)" points out that high-quality data is becoming increasingly scarce, which will promote the rapid development of data intelligence, and business competition around large AI models will become increasingly fierce. As the "raw material" for model training, data (especially high-quality data) is facing a crisis of shortage
In the artificial intelligence technology maturity curve released by Gartner in 2022, "data-centric artificial intelligence" (Data-centric AI) is listed as one of the four major innovation categories of artificial intelligence technology and applications, mainly focusing on Improvements to the training data set improve the accuracy and robustness of the model, of which the design, improvement and quality assessment of data are key. In addition, the "Interim Measures for the Management of Generative Artificial Intelligence Services" also clearly states that effective measures need to be taken to improve the quality of training data and enhance the authenticity, accuracy, objectivity and diversity of training data.
The training of large models requires a large amount of high-quality data, but there are still certain problems in data quality, including data noise, data missing, data imbalance and other issues, which will affect the training effect and accuracy of large models. . It is expected that the growing demand for high-quality data in the field of large models will force the comprehensive improvement of data in the three dimensions of large-scale, multi-modal, and high-quality, and data intelligence-related technologies are expected to usher in leapfrog development.
Cloud Test Data has rich practical experience and profound professional background in the field of artificial intelligence data. Since its establishment, Cloud Test Data has been based on high-quality, scenario-based AI training data services, and continues to provide high-quality data sets, data collection/data annotation services for many fields such as smart driving, smart cities, smart homes, and smart finance. , data standard platform & data management tools. It has formed a one-stop service of "acquisition, standardization, management and storage" of AI training data, realized the whole chain from "data raw materials" to the final "data finished product", and continued to provide computer vision, speech recognition, natural language processing, knowledge AI mainstream technology fields such as Maps provide high-value data support. With its high-quality services and technical capabilities, cloud measurement data has gained widespread recognition and praise in the industry.
In response to the data needs and development trends in the artificial intelligence era, Cloud Test Data takes technological innovation to accelerate industry development as its mission, and has successively launched the "Cloud Test Data Annotation Platform", "AI Data Set Management System", and "Vertical Industry Large Model AI Data" "Solution" and other technical achievements have helped enterprises increase the overall efficiency of data training by 200% and the annotation accuracy up to 99.99%, significantly improving the large-scale implementation of Al applications.
Has extensive experience in the field of data processing and analysis, and always adheres to the highest standards in protecting user data and personal privacy. Our team of world-class security experts ensures data confidentiality and integrity. At the same time, we use advanced encryption technology and security measures to prevent unauthorized access and data leakage. Our goal is to provide customers with safe and reliable cloud testing services. At the same time, we will continue to work hard to improve our data security and personal information protection capabilities to respond to ever-changing threats and challenges
The above is the detailed content of 'Prospects for the Global Transformation of Artificial Intelligence: The Jumping Point is Coming (2023)': High-quality data is becoming increasingly scarce. For more information, please follow other related articles on the PHP Chinese website!
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