Semi-structured data is data that is not captured or formatted by traditional methods. Semi-structured data does not follow the format of a tabular data model or relational databases because it does not have a fixed schema. However, the data is not completely raw or unstructured and has some structural elements, such as labels and organizational superdata, which will facilitate its analysis. The advantages of semi-structured data are that they are more flexible and simpler to scale compared to structured data.
Latent space (gizli uzay), yapay zeka ve makine öğrenimi modellerinin arka planında yer alan, verilerin daha derin ilişkilerini temsil eden çok boyutlu bir alanı ifade eder.
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.
Reinforcement Learning from Human Feedback (RLHF) ise, insan geri bildirimlerini bu sürece dahil ederek daha rafine ve doğru sonuçlar elde etmeyi hedefler. Bu yazıda, RLHF'nin nasıl çalıştığını, neden önemli olduğunu ve farklı kullanım alanlarını inceleyeceğiz.
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