Editor's Note: This post has been republished from MarketMuse's website. MarketMuse is a Marketing AI Institute partner. Back in September 2020 when I first wrote about comparing MarketMuse First Draft with GPT-3 there weren’t many examples from which to draw. GPT-3 was still closed to the general public. Fast forward to 2021 and numerous startups are using GPT-3’s API to power their platforms. Which made me curious. How does MarketMuse’s proprietary natural language model known as First Draft compare against GPT-3?
There’s been a lot of hype surrounding GPT-3 since its release in May 2020. GPT-3 is an AI language generation model created by OpenAI that automatically produces human-sounding language at scale. This third evolution in the GPT line of NLG models is currently available as an application program interface (API). (This means that you’ll need some programming chops if you plan on using it right now.)
In 2019, major publications ran with a story about how content created with artificial intelligence was going to bring down the web. It was the ultimate doomsday scenario that had many wondering whether this was indeed the end of days.
Slowly but surely, content marketers are finding greater value in artificial intelligence, and natural language generation (NLG) in particular. NLG uses deep learning to create human-like readable text, a unique article based on a language prediction model. NLG isn’t at the point where machines can converse in human language, but we’re getting there. In the meantime, content marketing can experience some real benefits in using the technology.
If you’ve done any research on natural language generation applications for content marketing, you may have come across article spinning software. Also known as article rewriting, it’s one of those old SEO tactics, like automated backlinking, used for less-than-legitimate (blackhat) purposes.
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