This new technology uses a very specific encoder/decoder deep learning architecture - one that existing rewriters (including tools powered by GPT-3!) do not use.
While others are stuck using outdated models, we made sure the architecture for WordAi Version 5 is the same architecture that Google is using for their new MUM technology. For anyone who is super nerdy about AI, most rewriters, including GPT-3 use a decoder only model. DeepRank was originally an encoder only model. Google's MUM now uses both an encoder and a decoder, as does WordAi Version 5. Furthermore, since Google has to index the whole internet, their MUM model actually uses fewer parameters than WordAi Version 5. Although Google spends far more computational resources in total, WordAi is able to spend more resources per piece of content. More parameters and resources mean more sophistication and quality :)
And since our rewriter models are trained using the same architecture Google's search models use, Google's models are trained specifically to rank WordAi generated content.
This is only possible because of the world class AI research team that is behind WordAi.
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