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Is generative AI really ready for the enterprise?



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Probably not yet, but it could be with some adjustments

Ron Miller

8 hours

OpenAI released ChatGPT just a few short months ago, and it’s fair to say that it took the world by storm: It has over 100 million active users already. No wonder, when it can generate human-like, grammatically correct responses. Related technologies can also produce artwork and code by entering a description of what you want, and the tech produces it.
You can even interact with the AI after your initial question, so if you don’t like the output you got or need clarification, you can ask additional questions or make adjustments to your picture or code, so it more closely matches your vision. All of this happens instantly without the help of a subject expert, an artist or a coder.
But none of this comes without issues, which include the sourcing of the data used to train the underlying AI model, the currency of that training data, a lack of permissions to use the source data, bias in the model and, perhaps most importantly, the accuracy of the responses, which are …

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