Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
The concept of digital transformation has been supported by many industry experts since 2012, allowing companies to update their business models. Technologies such as data analytics tools, artificial intelligence and cloud computing services are contributing to the development of digital transformation in companies.
Large Language Models (LLMs), milyonlarca parametre ile eğitilmiş, büyük miktarda metin verisi üzerinden dil anlayışını ve üretimini gerçekleştirebilen yapay zeka modelleridir. Bu modeller, özellikle doğal dil işleme (NLP) alanında devrim niteliğinde bir adım olarak kabul edilir.
Deepfake teknolojisi, yapay zeka ve derin öğrenme yöntemleri kullanarak dijital içeriklerdeki ses ve görüntüleri manipüle eden bir tekniktir.
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