Blog Post Generation
Blog Post Generation
What is Blog Post Generation and Why Use GPT?
Blog post generation is about getting AI to automatically write a blog article for you. Simply give a couple of instructions to the AI and it will write a whole blog post for you that is both relevant and fluent. You can even automatically generate blog posts with the proper HTML formatting (headings, subheadings, etc.). GPT (GPT-J / GPT-Neo / GPT-NeoX) is perfectly suited for this task because it is very good at understanding your requirements and at generating complex content based on this, in many languages. This is pure original content so there is no risk of duplicated content.
For example ask the following: generate a blog article about a text classification API. The AI model could return something like this:
<h1>Text Classification API</h1>
<h2>What is Text Classification?</h2>
<p>Text classification is the process of categorizing a block of text based on one or several labels. Let's say you have the following block of text: Perseverance is just getting started, and already has provided some of the most iconic visuals in space exploration history. It reinforces the remarkable level of engineering and precision that is required to build and fly a vehicle to the Red Planet. Let's also say that you also have the following labels: space, science, and food. Now the question is: which ones of these labels apply best to this block of text? Answer is space and science of course.</p>
<h2>Text Classification with Hugging Face Transformers.</h2>
<p>Hugging Face transformers is an amazing library that has been recently released. It is based on either PyTorch or TensorFlow, depending on the model you're using. Transformers have clearly helped deep learning NLP make great progress in terms of accuracy. However this accuracy improvement comes at a cost: transformers are extremely demanding in terms of resources.</p>
You could also pass specific keywords that you want to be included in your blog article. Or on the contrary you can explicitly specify keywords that you don't want to see in the final blog post.
The length of the article, its structure, and the generated content itself, will radically depend on the instructions you pass to the AI.
GPT-J and GPT-NeoX are the most advanced open-source NLP model as of this writing, and they are the best alternatives to GPT-3 for full blog post generation, without restrictions. These models are so big that they can adapt to many situations, and behave like real content writers. For advanced use cases, it is possible to fine-tune GPT (train it with your own data), which is a great way to perform more advanced code generation that is perfectly tailored to your company or industry.
Why Use Automatic Blog Post Generation?
Content creation is at the heart of every marketing and SEO strategies today, but producing quality content on a regular basis can be tedious and very costly. Here are a couple of examples about how you could leverage blog post generation:
Feed a Corporate Blog
So many corporate blogs stop being maintained after a couple of articles because it's too much work. This is bad for SEO but it also gives a bad impression to visitors. Thanks to automatic content writing, you can easily write a couple of articles per week in a couple of minutes that rank very well on Google.
Multilingual Marketing
Writing articles in non-English languages is often a good strategy to rank on competitive keywords, but of course writing multilingual content is hard... You can now easily do it thanks to GPT-J.
Python Code
import nlpcloud
client = nlpcloud.Client("fast-gpt-j", "", gpu=True, lang="en")
client.article_generation("How to become a programmer?")Use GPU
Control whether you want to use the model on a GPU. Machine learning models run much faster on GPUs.
Language
NLP has a critical weakness: it doesn't work well with non-English languages.
We do our best to add non-English models when it's possible. See for example XLM Roberta Large XNLI, TF Allociné, German Sentiment Bert... Unfortunately few models are available so it's not possible to cover all the NLP use cases with that method.
In order to solve this challenge, we developed a multilingual AI that automatically translates your input into English, performs the actual NLP operation, and then translates the result back to your original language. It makes your requests a bit slower but returns impressive results.
Simply select your language in the list, and from now on you can write the input text in your own language!
This multilingual add-on is a paid feature. Please contact the support team so they can upgrade your plan.