By using Azure, our colleagues have access to those features without individual subscriptions.įurthermore, we can provide our users with more fine-grained settings. For example, users can change the context to customize the style SlackGPT’s replies (Figures 3 & 4). The free version of ChatGPT is nice, but to get access to advanced features, like GPT4, you need to get a paid subscription. Every day we remind them about data handling and the importance of not sharing sensitive information (Figure 2).įigure 2: Our daily reminder to active users about privacy and the use of SlackGPT More importantly, we keep our users up to date on the risks. Only potentially abusive messages might be reviewed by Microsoft EU employees ( link ). This provides better terms and conditions. To improve privacy, we developed our first version of SlackGPT on top of the Azure OpenAI Service. Plus, it’s on by default, so there’s a good chance many users will either forget to turn it off or not even know about it.įigure 1: Default user settings of ChatGPT on You can turn off these settings, but it’s linked to the handy chat history saving feature. If you accidentally insert sensitive information in ChatGPT, you might risk company secrets, just like Samsung did ( article ). By default, uses your data to improve the model ( Figure 1). Keep reading to find out more! 1 – Enhanced PrivacyĬhatGPT has a potential risk of leaking sensitive info. ![]() In this blog post, we’ll dive into what SlackGPT is, why we built it, and how we use it within our team. SlackGPT not only tackles these limitations but also gives our colleagues a unique experience when working with and building modern LLM applications. ![]() To address these issues we developed an internal tool called SlackGPT. Despite its popularity, we spotted some areas for improvement, like privacy, flexibility, and collaboration, to make it even better for our colleagues. ![]() ChatGPT has become increasingly popular among professionals who rely on to help them out in their daily work.
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