How GPT-3 Shakes Up Content Creation

[rifathasann]

GPT-3, a language prediction model, was unveiled in May 2020 and is widely available for public use through Open AI. GPT-3’s output quality was a huge leap forward from GPT-2 when asking a machine to write legible, coherent content. The downside to GPT-3’s development and vastly improved content creation tools: How to keep up with turkey number data machine performance? Google is looking to address potential issues with the predicted explosion of AI content so that search results aren’t flooded with low-quality content.

They recently reiterated that AI content is against their guidelines and updated their webmaster guidelines documentation. How can they tell the difference between machine-generated content and simply poorly written human content? The progress and development of AI writers and content tools is just getting started. Private investment in AI more than doubled last year and will reach $93.5 billion in 2021. This means that more machine learning tools are being developed that will become more integrated into the tools we use as marketers and SEOs .

Meta recently announced a new research project to study next-generation AI. They aim to create AI that processes data like a human and is indistinguishable from a human. When this might be available is unknown. In this article, we’ll look at some of the best content creation tools available today to see how they compare. And consider how they can help us work more efficiently. Will AI take over the content creation industry? Let’s take a look at the results of the tools we tested.