DeepSeek Files Patent for Efficient AI Data Collection System
Hangzhou DeepSeek AI Fundamental Technology Research Co., Ltd., an affiliate of the Chinese AI company DeepSeek, has filed a patent for an innovative web data collection system. This new technology is designed to enhance both the efficiency and quality of data gathering, which is critical for training large language models (LLMs). The patent details a method that discovers a greater number of webpage links while significantly minimizing the impact on website traffic. By assessing downloaded content, the system predicts the quality of undiscovered links, thereby prioritizing high-value data and reducing redundant downloads. This approach addresses common challenges in existing data collection techniques, such as incomplete link retrieval, excessive downloads that risk crashing websites, and ineffective filtering of low-quality data. DeepSeek’s proposed solution aims to optimize data allocation and maintain metadata accuracy, potentially offering a competitive edge in the development of advanced AI systems similar to ChatGPT. The filing highlights ongoing efforts within the tech industry to refine the foundational processes of AI model training through more sophisticated and less intrusive data harvesting methods.
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DeepSeek Files Patent for Efficient AI Data Collection System
Hangzhou DeepSeek AI Fundamental Technology Research Co., Ltd., an affiliate of the Chinese AI company DeepSeek, has filed a patent for an innovative web data collection system. This new technology is designed to enhance both the efficiency and quality of data gathering, which is critical for training large language models (LLMs). The patent details a method that discovers a greater number of webpage links while significantly minimizing the impact on website traffic. By assessing downloaded content, the system predicts the quality of undiscovered links, thereby prioritizing high-value data and reducing redundant downloads. This approach addresses common challenges in existing data collection techniques, such as incomplete link retrieval, excessive downloads that risk crashing websites, and ineffective filtering of low-quality data. DeepSeek’s proposed solution aims to optimize data allocation and maintain metadata accuracy, potentially offering a competitive edge in the development of advanced AI systems similar to ChatGPT. The filing highlights ongoing efforts within the tech industry to refine the foundational processes of AI model training through more sophisticated and less intrusive data harvesting methods.
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