The video addresses data privacy concerns related to the use of ChatGPT and other large language models. It emphasizes the importance of carefully considering any personal data leaving an organization, a principle applicable to all systems, not just AI models like ChatGPT. The speaker clarifies common misconceptions, explaining that these systems do not use individual feedback to train their models, as they are built on vast amounts of data, making any single contribution insignificant. Additionally, if users choose not to save their conversations, they are not stored or shared, mitigating concerns about potential data breaches. The process involves tokenizing the text input, which is then processed by the model to generate a response, without recording the interaction in a database. The video concludes by stressing the importance of understanding where data is going, whether it stays within the organization or goes outside, and maintaining control over it, just as with any other software, including ChatGPT.
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