Active Data Warehouse (ADW) is a combination of products, features, services, and business partnerships that support Active Business Intelligence business strategy. This term was first used in 2001 by our business partner Teradata.
Reinforcement Learning from Human Feedback (RLHF) aims to achieve more refined and accurate results by incorporating human feedback into this process. In this article, we will explore how RLHF works, why it is important, and its different use cases.
Günümüzde artan veri hacmi, şirketlerin veri yönetimi ve depolama stratejilerini yeniden düşünmesini gerekli kılmıştır. Veri yinelenmesini giderme (data deduplication), veri depolama sistemlerinde aynı veya benzer veri kopyalarının tespit edilerek tek bir kopya halinde saklanmasını sağlayan bir tekniktir.
Few-shot learning is a technique that enables machine learning models to produce effective results by training them with a very small number of examples. While traditional machine learning methods require large amounts of data to achieve success, few-shot learning eliminates this requirement and provides high performance with little data.
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