Post by account_disabled on Feb 16, 2024 23:38:45 GMT -8
2. Entities Entities are components that help extract relevant and specific information from user input . When users interact with the chatbot, they often provide information that is crucial to fulfilling their requests, as entities allow this important data to be identified and captured. For example, if a user wants to reserve a table at a restaurant, the entities could be date, number of people, and location. By recognizing and understanding these entities, the chatbot can offer a personalized service adapted to the user's needs. 3. Contexts Contexts are data structures that help maintain coherence and continuity in a conversation. They allow the chatbot to remember relevant information during the interaction with the user, making it easier to follow the conversation.
For example, if a user asks about the weather in a specific city and then goes phone numbers data on to ask about restaurants, context can help the chatbot understand that the user is interested in restaurants in that same city . Contexts are also useful for resolving ambiguities and providing more precise answers. 4. Fulfillment TEST How much do you know about marketing? Channels, metrics, tools, digital marketing methodologies... Test yourself with this test! (it won't take you more than 3 minutes). Take the test! FREE classes What would it be like to take one of our master's degrees? The best thing is that you try it yourself with these totally FREE classes! Sign up and live the experience of being part of the business school that has put the traditional educational model in check.
See free classes! The compliance feature allows the chatbot to interact with external services or webhooks to obtain real-time data and provide dynamic responses for users. When a request is made that requires updated information or interaction with external systems, compliance acts as a bridge to obtain that information and present it to the user. For example, if a user wants to get the status of their order, fulfillment can query a database for the latest details and respond with the updated status. 5. for multiple languages , allowing developers to create conversational experiences in different languages to serve users from various regions and cultures. This is especially valuable in global applications, where the chatbot must communicate effectively with users who speak different languages.
For example, if a user asks about the weather in a specific city and then goes phone numbers data on to ask about restaurants, context can help the chatbot understand that the user is interested in restaurants in that same city . Contexts are also useful for resolving ambiguities and providing more precise answers. 4. Fulfillment TEST How much do you know about marketing? Channels, metrics, tools, digital marketing methodologies... Test yourself with this test! (it won't take you more than 3 minutes). Take the test! FREE classes What would it be like to take one of our master's degrees? The best thing is that you try it yourself with these totally FREE classes! Sign up and live the experience of being part of the business school that has put the traditional educational model in check.
See free classes! The compliance feature allows the chatbot to interact with external services or webhooks to obtain real-time data and provide dynamic responses for users. When a request is made that requires updated information or interaction with external systems, compliance acts as a bridge to obtain that information and present it to the user. For example, if a user wants to get the status of their order, fulfillment can query a database for the latest details and respond with the updated status. 5. for multiple languages , allowing developers to create conversational experiences in different languages to serve users from various regions and cultures. This is especially valuable in global applications, where the chatbot must communicate effectively with users who speak different languages.