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.
DALL-E is a powerful artificial intelligence model developed by OpenAI that can generate images using text-based descriptions.
Product lifecycle management refers to the examination of a product as it goes through certain stages of its lifecycle.
Neural Style Transfer (NST) is a method of applying the style of one image to another using artificial neural networks. Using deep learning algorithms, this technique combines two images: the style of one (e.g. a work of art) and the content of the other (e.g. a photograph) to create an expressive and artistic result.
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