Post by account_disabled on Feb 28, 2024 3:31:57 GMT -3
The machine learning models. Artificial intelligenceThe agent's level of advancement depends only on the creator's involvement. As mentioned earlier, you can start with a few examples, but aim to collect several thousand. Moreover, the application can understand several languages at the same time. Every conversation with the user contributes to the development of the model because we can use them as further training examples. The more conversations, the smarter the agent. What are Entities? What allows you to focus on the exact needs of the interlocutor is the Entities mechanism. Its main task is to identify and extract the most important information from what the user communicates.
It can be anything - date, residential address, product name. Any information important from the perspective of what you do will be assigned to the appropriate Entity . At this stage, this process Chinese Europe Phone Number List may not be fully understandable, but the whole thing will be clarified by the example of a bicycle service discussed earlier. READ ALSO ideas for a business bot and TOP tools for building it. Messenger marketing in a nutshell Cezary Kuik artificial intelligence in customer serviceLet's assume that an agent for a bicycle repair shop receives a message as in the image above. After initially identifying the intention to repair the bike.
It will be necessary to highlight the most important facts - in this case, date. DialogFlow performs such pre-selection automatically. For most general data, such as dates, place names, quantities expressed in various values, the system uses a built-in unit catalog. In this case, the agent recognizes the phrase "tomorrow" and it will be classified as a date and time unit. Of course you can create your own categories. Just enter a list of keywords or phrases that match the set of a given concept. The phrase "broken" will be recognized and assigned to a unit created to distinguish specific bicycle repair services.
It can be anything - date, residential address, product name. Any information important from the perspective of what you do will be assigned to the appropriate Entity . At this stage, this process Chinese Europe Phone Number List may not be fully understandable, but the whole thing will be clarified by the example of a bicycle service discussed earlier. READ ALSO ideas for a business bot and TOP tools for building it. Messenger marketing in a nutshell Cezary Kuik artificial intelligence in customer serviceLet's assume that an agent for a bicycle repair shop receives a message as in the image above. After initially identifying the intention to repair the bike.
It will be necessary to highlight the most important facts - in this case, date. DialogFlow performs such pre-selection automatically. For most general data, such as dates, place names, quantities expressed in various values, the system uses a built-in unit catalog. In this case, the agent recognizes the phrase "tomorrow" and it will be classified as a date and time unit. Of course you can create your own categories. Just enter a list of keywords or phrases that match the set of a given concept. The phrase "broken" will be recognized and assigned to a unit created to distinguish specific bicycle repair services.