



Cascading is a platform used to develop big data applications on Hadoop. It provides a computational engine, system integration framework, data processing, and programming capabilities. One of the key benefits of cascading is that it provides portability to development teams, so they can move existing applications without incurring the cost of rewriting. Cascading applications can run on different platforms such as MapReduce, Apache Thesis and Apache Flink and link between the platforms.
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.
AI Agents are artificial intelligence systems that can autonomously navigate complex workflows in digital environments using large language models. These systems possess the capability to plan, execute actions, and utilize various digital tools far beyond the information retrieval and content generation capabilities of traditional chatbots.
The AI hallucination effect is when an AI model produces information that is incompatible with the real world or is completely fabricated.
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We were able to increase the data processing speed by 13 times on average and 30 times at maximum with this project.
