Based on an extensive database of cases and examples, questions and answers, and more or less successful human interactions, the machine learns the job.
Artificial intelligence surrounds us from all sides, and it is now available and accessible to everyone. But what exactly do we do with it? How do we channel ChatGPT into service, sales, and every interaction with end customers? And how do we get the best out of it? That's also why we are here.
Back to products and services >Based on an extensive database of cases and examples, questions and answers, and more or less successful human interactions, the machine learns the job.
After learning the principle, the system adapts itself to the specific use cases. As you know, often: change the place - change the style.
An effective engine is the heart of the matter, but if the user interface is not clear or intuitive enough - we have done nothing. The logic behind the format and discourse is also critical to success.
When the service is ready - and it shouldn't take too long - we'll implement it as a leading feature and a force multiplier in digital assets. But we're not done: we'll continue to improve it as we go.
Based on an extensive database of cases and examples, questions and answers, and more or less successful human interactions, the machine learns the job.
After learning the principle, the system adapts itself to the specific use cases. As you know, often: change the place - change the style.
An effective engine is the heart of the matter, but if the user interface is not clear or intuitive enough - we have done nothing. The logic behind the format and discourse is also critical to success.
When the service is ready - and it shouldn't take too long - we'll implement it as a leading feature and a force multiplier in digital assets. But we're not done: we'll continue to improve it as we go.
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