What is Blog Post Generation and Why Use Generative Models?
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.). Generative models are perfectly suited for this task because they are 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
<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
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, GPT-NeoX, LLaMA 2, Dolphin, and ChatDolphin, are advanced generative models that are very good alternatives to
GPT-4 and ChatGPT
for full blog post generation, without restrictions. These models can adapt to many
situations, and behave like
real content writers. For advanced use cases, it is possible to fine-tune these models (train them with your own
data), which is
a great way to perform more advanced article generation that is perfectly tailored to your company or