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LLM large model training data package (AI question answering 2025 latest version 2500G)
HK$26,999.00
HK$49,999.00
LLM large model training data package (AI question and answer category) 2500G The data package contains: high-quality AI question and answer data collected and sorted after executing tasks such as GPT-4o model, o1 model, o3 model, Claude model, Gemini model, etc. Function: It can help LLM training reduce the error rate, improve the accuracy of AI, and understand users' daily questions and answers. The data package is added every month, and users can download the latest version from the cloud disk. Release date: February 18, 2025 (this data package will update and increase the data volume every 3 months. Users who have purchased it can get the latest data for free in the download link) Purchase process: - Choose to purchase the LLM large model training data package on the platform. - After completing the purchase, the system will automatically send the data package download link to your mailbox, and you can directly download and extract it in the download link. - If you purchase multiple data packages/the amount is large (more than 100,000 Hong Kong dollars), you can place orders in batches or contact customer service to obtain large payment methods (such as corporate Alipay, corporate transfer, virtual currency, etc.).
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LLM large model training data package (AI question answering) 2500G
The data package includes: high-quality AI question-answering data collected, distilled and organized after executing tasks such as the GPT-4o model, o1 model, o3 model, Claude model, and Gemini model.
Function: It can help LLM training reduce the error rate, improve the accuracy of AI, and understand users' daily questions and answers.
New data packages are added every month, and users can download the latest version from the cloud disk.
Release date: February 18, 2025 (This data package will update and increase the data volume every 3 months. Users who have purchased it can get the latest data for free in the download link)