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Post by j7oyun55rruk on Jan 1, 2024 19:53:59 GMT -8
How does it work? Generative AI is based on advanced machine learning models such as generative adversarial neural networks. In particular, it consists of two competing neural networks: generator and discriminator. Generators are responsible for creating data samples based on real examples. The discriminator has the function of evaluating whether the data is true or false. This training occurs in an interactive loop, and as training proceeds, the generator begins to create increasingly realistic and refined samples. This is why generative AI, like chat, has managed to develop so much new content on C Level Contact List its own. Currently, of purposes. For example, in the field of architecture, it can be applied to create layouts and interior designs. In industry, it can optimize manufacturing processes. In the clothing field, this kind of artificial intelligence can help design clothing and accessories. In games and simulations, it can create increasingly immersive environments. There is no shortage of use cases. In the context of digital services, the situation is no different. Generative AI can streamline communication across multiple domains. Please find out more details below. Chat Course Generative AI in Customer Service: Far Beyond Coding! One of the biggest challenges for companies in the online environment is how to stand out from the competition and gain users’ attention. After all, the information traffic on the Internet is quite large.
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