Instance, you may create a feature on your grocery store app that allows customers to ask things like, “What should I cook tonight?” prompting the tool to list recipes based on what you sell in your store. Or india whatsapp number data you may build in clickable prompts that ask the user some general food preferences before the chatbot responds with some suggestions.
Whether your AI-powered chatbot is supplying you with information about a detailed product query, helping you gather information for a research project, or providing a variety of dinner suggestions, the relevance of its answer will ultimately depend on the data source it pulls from.
When thinking more broadly about generative AI content and its use in real-time communication with humans, we should consider various factors: What data was used to train the model? Are there any biases in the model as a result of this data? Has the model been programmed to have a specific perspective or agenda? Is the information being provided by the chatbot in the conversation verifiable.