Filters
What are filters?
In chatbots and conversational AI, filters are rules or conditions used to control the flow of a conversation based on certain criteria.
Filters allow the chatbot to analyze what the user says or inputs, and then take different actions or provide different responses depending on what that input matches.
Filters help the conversational AI to adapt its behavior based on the specific conditions and contexts. Without filters, chatbots would struggle to understand humans and maintain coherent conversations.
Filters allow the chatbot to analyze what the user says or inputs, and then take different actions or provide different responses depending on what that input matches.
Filters help the conversational AI to adapt its behavior based on the specific conditions and contexts. Without filters, chatbots would struggle to understand humans and maintain coherent conversations.
Types of filters
Language filters: Detect what language is being used and respond in that language
Intent filters: Identify the main purpose behind the user's message (e.g. asking a question, making a request, etc.)
Entity filters: Extract key pieces of information like names, dates, numbers from what the user said
Persona filters: Customize the chatbot's personality, tone, and responses based on the user's profile or preferences
Intent filters: Identify the main purpose behind the user's message (e.g. asking a question, making a request, etc.)
Entity filters: Extract key pieces of information like names, dates, numbers from what the user said
Persona filters: Customize the chatbot's personality, tone, and responses based on the user's profile or preferences
Tags: Chatbots