This is especially important for large companies

[nusaiba129]

limited understanding of context . Yes, ChatGPT quickly adapts, rebuilds, learns, BUT everything rests on the quality of the loaded database: if you connect a neural network to a chatbot without additional settings, the output will be outright heresy. In order for GhatGPT to generate high-quality answers for the audience, it is necessary to provide them with their possible variations;
probability of generating incorrect answers or inaccurate information . If the neural network is not provided with a completely accurate correct answer, it can make it up itself, and there is no guarantee that it will be accurate.

For example, if you specify your working hours as "Mon-Fri from 09:00 to 18:00", without mentioning the weekend and without putting a break for non-working hours like "thank you for contacting us, we will contact you during working hours", and the client writes "is it possible to come to you on Saturday at 20:00?", GhatGPT can send him to your competitors who are open on weekends. Unfortunately, there have been precedents;
insufficient data privacy . that must store their clients' data in the Russian Federation. ChatGPT is a foreign bulgaria consumer email list network, as are many platforms that work with it;
a long testing period, the need to download a large database and the lack of emotions (compared to communicating with a real specialist). Still, a neural network, even if advanced, cannot yet replace a person, and optimizing communication scenarios can take a lot of time. Again, provided that the database of verified answers is initially loaded.