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domaininfini-ai.com
summaryThis is an interesting content that discusses the differences between two types of data analysis techniques - unsupervised and supervised learning. Unsupervised learning involves analyzing datasets without prior knowledge about their correct outputs or labels, while supervised learning trains models using labeled input data to make predictions. The article highlights the advantages and disadvantages of each method, such as unsupervised learning being more suitable for exploratory analysis and identifying patterns in large amounts of data, while supervised learning is beneficial when it comes to predicting specific outcomes based on predefined categories. Both methods have their unique applications, depending on the problem at hand.
titleNo-question core dome
descriptionInfinigence AI (referred to as "Wuqiong") relies on industry-leading and proven AI computing optimization capabilities and computing power solutions to pursue the ultimate energy efficiency of large models. Create a "M×N" intermediate layer product between "M models" and "N chips" to achieve efficient and unified deployment of multiple large-model algorithms on multiple chips. Link upstream and downstream, jointly build large-scale model infrastructure in the AGI era, and accelerate the implementation of AGI in a variety of industries.
keywords
upstreams
downstreams
nslookupA 8.140.198.95
created2025-07-19
updated2025-08-31
summarized2025-08-31

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