What’s generative AI?
It’s 2023 and instead of flying cars, we have generative Artificial Intelligence (AI) that’s capable of painting your cat in the style of Picasso. Or writing you a poem about fruit loaf from the point of view of a sultana. See?
The example of generative AI shown to the right is Chat GPT. Chat GPT (GPT stands for “Generative Pretrained Transformer”), along with other tools like Bard and Jasper, employs large-scale natural language technology that uses deep learning to produce human-like text. This large-scale language model was trained with approximately 570GB of data gathered from websites, books, Wikipedia, etc. across the internet. That’s more than 300 billion words.
With that, it can synthesize information to create original content in response to a user prompt. But beyond funny poems — and at times some awkward conversations with AI —generative AI is making waves for removing the roadblocks to scalable enterprise content creation. It can summarize, translate, and even write code, promising a limitless content velocity that big companies only dreamed of until now.
Many big businesses are rethinking their content creation workflow to include generative AI. But just like adding any new external content contributors, you need a strategy to make sure you’re publishing risk-free content that’s aligned to your brand standards. Which is why this guide highlights the importance of content governance – no matter who, or what, creates your content.
This article is posted at acrolinx.com
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