Paraphrasing/Rewriting is about generating a new content that keeps the same sense as the original content, but with different words.
Performing simple paraphrasing by simply changing a couple of words is one thing, but generating advanced paraphrasing that completely changes the structure of sentences and the vocabulary used is another beast! Modern generative AI models now make it possible to easily create advanced and complex paraphrasing that properly keeps the main sense while using a different wording.
LLaMA 2, Dolphin, and ChatDolphin are the most advanced alternatives to GPT-4 and ChatGPT. These models are so big that they can adapt to many situations, and perfectly sounds like a human. For advanced use cases, it is possible to fine-tune Dolphin (train them with your own data), which is a great way to perform paraphrasing that is perfectly tailored to your company/product/industry.
Marketing teams do appreciate paraphrasing as it makes their work much faster and less repetitive. Here are a couple of examples:
Creating marketing content can be long, tedious, and repetitive. It is sometimes interesting to get a hand from AI to increase productivity! Imagine you want to write a new blog article that partially says the same thing as another blog post your wrote earlier. You can paraphrase part of this content and supplement it with new original content. It's also known as "marketing copy".
Writing product descriptions is sometimes very repetitive. Sometimes products are very similar but you don't want to copy paste the same description. Using paraphrasing can really help.
If you are creating ads on a regular basis, you might sometimes lack inspiration. Paraphrasing is your friend here.
Building an inference API for paraphrasing with generative models is a necessary step as soon a you want to use paraphrasing in production. But building such an API is hard... First because you need to code the API (easy part) but also because you need to build a highly available, fast, and scalable infrastructure to serve your models behind the hood (hardest part). It is especially hard for machine learning models as they consume a lot of resources (memory, disk space, CPU, GPU...).
NLP Cloud proposes a paraphrasing/rewriting API with generative models that gives you the opportunity to perform paraphrasing out of the box, with breathtaking results. If the base generative model is not enough, you can also fine-tune/train Dolphin on NLP Cloud and automatically deploy the new model to production with only one click.