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Posted: Sat Dec 28, 2024 9:49 am
by ritu500
Perhaps you should also support this trend to save money. The fact is that, according to analysts, most customers consume no more than 50 GB of mobile Internet per month. the offers of virtual providers, you will find that by choosing to pay for actual traffic consumption, you will be able to use the Internet at least twice as cheaply - depending on the terms of the tariff. 5) Cashback for incoming calls Another unexpected way to save on communication is to receive incoming calls more often. This kind of cashback is offered to its subscribers by the virtual mobile operator MCN Telecom in the SIMakat tariff . The gist is this: for every incoming call lasting up to 120 minutes, bonus rubles are credited to the subscriber’s account, which can be spent on paying for the services of the communications provider.



So, if you often receive calls from security lebanon telegram data officers or advertising agents, do not rush to get upset - you will still be in the black. All five ways to save on mobile communications are available to MCN Telecom subscribers - all that remains is to choose a suitable tariff and start paying less!Scenarios for using text neural networks in the structure of chatbots A study recently published in the journal Research Methods in Applied Linguistics found that even linguistic experts were only able to distinguish between scientific texts created by AI and humans 39% of the time. But does this mean that artificial intelligence can communicate like a human in online correspondence? Developers of chatbots based on generative text neural networks believe that it can, but it shouldn’t .



The point is that excessive imitation of a person can lead to the emergence of the “uncanny valley” effect - aversion to artificial entities that are slightly different from living subjects. Instead, it is proposed to make chatbots less robotic . Using Chat GPT in creating chatbots allows you to not only bring such communication indicators as creativity, understanding of context and naturalness of conversational flow closer to human ones, but also help achieve the main goal - improving customer service - in other ways. Let's talk about how else the introduction of a text neural network into chatbots can be useful: Customer sentiment monitoringLarge language models (LLM) are created based on neural networks, which can be useful for assessing customer satisfaction after each response in a chatbot.