Peningkatan Sumber Daya! 30.000+ IP Perumahan AS baru hanya dengan $0,77/GB
Data Privacy and Security
When collecting, storing and using training data on a large scale, the data needs to be encrypted and desensitized. At the same time, it is also necessary to comply with relevant laws and regulations to ensure the legal use and confidentiality of the data.
Data Management and Quality
Establish an effective data quality control mechanism, clean and preprocess the large amounts of collected data to eliminate errors, and ensure the quality and diversity of data to effectively train AI models and improve the model's generalization ability and coverage.
Data Bias and Imbalance
The data collected may be biased and imbalanced, causing model performance to degrade. During the data collection and preparation process, care needs to be taken to avoid bias and imbalance and ensure the representativeness and balance of the data.
Data Volume and Resource Requirements
Large-scale training data requires large amounts of storage and computing resources. As the amount of data increases, the training time and storage space of the model will also increase dramatically. This requires the use of efficient algorithms and distributed computing frameworks to accelerate the model training process, and optimize storage strategies to save space.
Unlimited concurrent sessions
We don't limit concurrent sessions, so you can easily scale your web scraping project at any time.
Growing Proxy pool
LunaProxy ensures our residential proxy network is continuously upgraded and expanded, with fast response times and uninterrupted data collection.
reliable network
The most reliable infrastructure to avoid IP bans and CAPTHCA, ensuring an average 99.9% success rate for your scraping projects
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AI training data refers to the collection of information used to train artificial intelligence (AI) models. The purpose of training data is to provide a rich set of examples from which the AI can learn to understand patterns, make predictions, or perform tasks. The quality and quantity of training data have a significant impact on the performance of an AI model, as it relies on this data to learn how to make decisions or accurately produce results. Essentially, AI training data is the basic knowledge that AI systems use to develop their capabilities.
LunaProxy has expanded its proxy range and now you can choose from geo-located residential proxies in 195 countries. No matter where you are, in any language you need, you can quickly obtain relevant data on the Internet through the API interface we provide.
AI training data brings value in a variety of scenarios, such as intelligent risk control, intelligent customer service, intelligent recommendations, generative AI, etc.
LunaProxy provides the most AI-friendly proxy solution that manages the unblocking process and extracts high-quality public data from even the most difficult websites.
If you receive a blocking response to your request to LunaProxy, please contact our support team with the list of restricted URLs and the response you received. We will investigate this matter and adjust our unlocking logic for the affected targets.
To explore custom solutions, complete your enterprise certification or contact us at [email protected].
Beneficiary Bank Name:
HSBC Hong Kong
Bank Code:
004
Beneficiary Bank Address:
1 Queen’s Road Central,Hong Kong
SWIFT Code:
HSBCHKHHHKH
Beneficiary Account Name:
MARS BROTHERS LIMITED
Beneficiary Account Number:
582663605838
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Total
5GB
30GB
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If the handling fee is low, payments will be delayed or not credited.
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