{"id":15644,"date":"2023-10-24T08:24:49","date_gmt":"2023-10-24T08:24:49","guid":{"rendered":"https:\/\/www.constantine-carpet.com\/?p=15644"},"modified":"2024-03-05T06:03:57","modified_gmt":"2024-03-05T06:03:57","slug":"privacy-security-accuracy-how-ai-chatbots-handle","status":"publish","type":"post","link":"https:\/\/www.constantine-carpet.com\/privacy-security-accuracy-how-ai-chatbots-handle\/","title":{"rendered":"Privacy, security, accuracy: How AI chatbots handle your data"},"content":{"rendered":"
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Context handling is the ability of a chatbot to maintain and use context from previous user interactions. This enables more natural and coherent conversations, especially in multi-turn dialogs. Your conversations can be viewed by OpenAI and used as training data to refine its systems unless you have a premium membership, such as Plus, Enterprise, or Teams. Therefore, if you have any personal or private information you wouldn’t want to be used for future training data, it might be a good idea to not enter it into the chat window. The commercial application of chatbots is expanding, and knowing how to leverage data to make these bots better at conveying and scaling information is important. The way brands communicate with their customers has changed drastically over the years and chatbots are accelerating these trends.<\/p>\n<\/p>\n
Currently, two-thirds of customers say they would use a chatbot to solve their issues or answer common questions instead of talking to an agent. As we\u2019ve seen with the virality and success of OpenAI’s ChatGPT, we\u2019ll likely continue to see AI powered language experiences penetrate all major industries. Hopefully, this gives you some insight into the volume of data required for building a chatbot or training a neural net. The best bots also learn from new questions that are asked of them, either through supervised training or AI-based training, and as AI takes over, self-learning bots could rapidly become the norm.<\/p>\n<\/p>\n