Conversational AI model, adept at engaging in open-domain dialogue on diverse topics with coherent and contextually relevant responses.
The Chatbot should be capable of understanding natural language input from users. This involves parsing and interpreting the user's messages to derive meaning and context.
Identify the intent behind user messages to determine what action or response the Chatbot needs to take. This involves recognizing keywords, phrases, or patterns that indicate the user's intention.
Maintain context throughout the conversation to provide more coherent and relevant responses. The Chatbot should remember previous interactions and use that information to guide the conversation.
Generate human-like responses based on the input received from the user. Responses should be coherent, relevant, and natural-sounding to maintain the illusion of conversing with a human.
Support multi-turn conversations where the Chatbot can engage in back-and-forth exchanges with users. This involves managing the flow of conversation and responding appropriately to user messages based on the current context.
Description: Ensure the security and privacy of user data and interactions. Implement measures to protect sensitive information stored in the database and adhere to data protection regulations.
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