Artificial Intelligence (AI) generated blogs
AI/Machine learning generated text
Artificial Intelligence (AI) & Machine Learning (ML) domain is growing rapidly along with their adoption in various applications. Natural language processing is one of the ML branches and it allows machines to detect, classify, and even generate language text based on an input text.
Abacross LLC is integrating this technology to quickly generate blog content. As the model is trained and refined over time, there will be less human involvement to curate the content for our viewers. This will streamline blog content updates and provide more up-to-date information.
Blog content generation in a nutshell
There are numerous machine learning models available online that are already pre-trained with books, articles, and other website content. Generative Pre-trained Transformer (GPT) is a notable open-source software that’s really easy to use. Here are just a few lines of python code that will spit out paragraphs based on input text:
from transformers import pipeline
content_str = "This is the beginning of a machine generated, human curated blog content."
generator = pipeline(task='text-generation', model='gpt2')
result = generator(content_str, max_length=300, num_return_sequences=1)
print(result[0]['generated_text'])
Here’s couple of example output generated by the above:
This is the beginning of a machine generated, human curated blog content.
We don't control and do not ask writers how they are writing, no matter what their reason may be. This is the start of a new, human curated blog content program.
This is a collaborative endeavor between some of our collaborators. As such, we have created the creation of a website written by a user, based on our criteria. If you or a user wants to contribute to the site, you have no control over this, although it is yours.
The content will vary based on your criteria. You may wish to contribute to the site by sending us a link to your site.
The website is owned by our team at Reddit.com, and we are happy to host all of the content the team manages.
If you would like to know more about the submission process and your site, don't hesitate to read our FAQ. Otherwise, read up on everything we did to keep the site's longevity intact.
Who is The Postman?
The Postman is a community of over 350,000 users, who serve us to express our views through an easy-to-use website design and blog. Like any community made up of users from around the world, the wiki has grown and grown to meet this demand.
One of the things we wanted to make is a simple, customizable interface for creating your unique post. We know that we do have
This is the beginning of a machine generated, human curated blog content. If you've been a guest contributing to this site, it should take you about 5 minutes to complete. Thank you.
You've already written more than 25 articles on this blog, which has been an essential part of my life. The above post should also become familiar to many visitors. Some articles are only a glimpse of the truth behind my writing. The truth is that you have a different perspective depending on your opinion of the contents. Some of you will find the content even slightly offensive to others. It needs to be told to make you feel good and appreciate your freedom (and I don't mean that in a political or social sense, I'm a femi
nist at heart). This should inform your own personal life: the one in which a person's opinion matters more than a person's actual life experience.
Acknowledge how important such articles are to women's perspectives
If you're looking for information about how to keep an active voice on topics that matter to your life, you can go to our Women's Leadership and Information Webinar.
Let's set off on the road, starting with the right direction, to take that right place.
1) Take care of your personal feelings, and those of other people on the same page
I've been talking recently about how much it pains everyone to be in the spotlight and not be understood. But people's feelings matter, too.
As we can see, some sentences are clunky and are clearly a content from other trained text. However, only the relevant words/setences with respect to the input text are used. How can this be used for blogs? A blog content curator can aggregate/edit relevant pieces of the output to create a new posting. The curated content can be used as training data that can further enhance the accuracy of the final output in the future.
We’ll discuss how to save & train the model in a future post, perhaps with sections generated by the machine learning tool discussed in this post.