What marketing tasks can be solved with ChatGPT

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AI uses human labor as the basis for its work
Machine learning models use information collected and prepared by humans in the process of their work and development. Both generative, like ChatGPT, and convolutional, and many other neural networks use data from the Internet or a pre-labeled array of data for training (for ivory coast telegram database example, a person shows what is what in a photo or video). Thus, the issue of intellectual property rights is actively discussed in the legal field: can AI content be considered truly unique if it is entirely based on the work of other people. If a person does not give the neural network new data for training, it will not develop.

AI performs highly specialized functions
In most cases, artificial intelligence solves specific problems, such as identifying vulnerabilities or patterns, monitoring the situation on the road, optimizing work with labeling, transporting goods around the warehouse, accounting for goods, etc. All of this can be described as analytical, control or auxiliary functions. AI unloads a person, frees them from routine, allows them to do more creative things, make decisions, and develop professionally.

For example, it can offer options for a schedule of classes for a university or school, and a person will analyze their relevance and choose the best one. Now it is almost impossible to completely transfer the powers of a specialist to neural networks, because within the framework of their position, a person performs a large amount of diverse work, which a machine is not able to cover.