It’s critical to have responsible principles like transparency and safety built into a generative AI solution. If this concerns you, read this timely blog about how Microsoft uses cutting-edge ideas from research combined with the best practices about policy and customer feedback to build and integrate responsible tools into its AI portfolio.
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Infuse responsible AI tools and practices into your LLMOps
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It's important to recognize that generative AI solutions bring great promise as well as challenges when it comes to data security and privacy, low quality or ungrounded outputs and harmful content. How have you navigated these obstacles in your AI journey? Read this blog showing how @Microsoft uses cutting-edge research ideas combined with the best practices about policy and customer feedback to build and integrate responsible tools into its AI portfolio.
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