The term "prototype networks" is particularly relevant in the fields of artificial intelligence and Industry and Factory 4.0. It describes special networks that are used in the early phase of the development of AI systems or industrial plants to test new ideas quickly and efficiently.
Prototype networks often consist of simplified but functional structures that are intended to mimic the behaviour of a larger system. They are used to try out certain concepts before a final, more complex solution is developed. This saves time, costs and resources.
An illustrative example: In a factory that wants to optimise its production processes with the help of AI, a small "prototype network" could initially be set up with just a few machines. This can be used to test how well artificial intelligence can control the processes. Only when this network works successfully will the technology be rolled out to the entire factory.
Prototype networks therefore help companies to minimise risks and test ideas under realistic conditions before making extensive investments.
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