Is AI Written Content Good in 2022?

Artificial Intelligence is a growing field of technology used to make computers smarter and perform tasks that were once thought to only be achievable by human beings.

Today, we use AI in various ways, including in writing. Many programs can write essays, poems, and other types of writing, and they are becoming better at it. Some of the best AI writing programs can produce work indistinguishable from that of a human, while others can produce very high-quality work.

What is AI Written Content?

Artificial Intelligence (AI) is the future of writing. By 2030, most articles you read on the internet will probably be written by a computer. The same is true for social media posts, emails, and other forms of digital written content.

The technology that is being used to generate content is called machine learning. This is a type of artificial intelligence that can learn from data that is provided to it. In the case of content writing AI, this data is made up of existing pieces of writing written by humans. The AI can then use this data to learn how to write in a way that is similar to how a human would write.

There are two main types of AI that are being used to generate content. The first is machine translation AI, which translates text that a human has written into other languages. The second is Natural Language Generation AI, which produces text in the same format as a human would write it.

The AI technology behind content writing is complex. It involves a series of algorithms that are designed to generate text that is human-level in quality. The core of this technology is the ability to generate text based on a series of human-level inputs. For example, you can use AI to generate an article on engineering.

How does AI write content?

The process of writing content using AI is fairly simple. All you need to do is provide the AI with a series of human-level inputs.

For example, you can provide the AI with a topic, a general outline for the article, and a sample of text that a human has written. The AI will then use this data to generate a series of outputs similar to the human-level inputs.

What are GPT-2 and GPT-3?

Newer forms of AI used to generate content are called GPT-2 and GPT-3. These are known as generative programming languages and are designed to generate text similar to a human.

The first iteration of GPT-2 could generate text almost indistinguishable from that of a human, and the second iteration, GPT-3, can generate text of human-level quality.

The technology behind GPT-3 is complex, but it is based on the same principles as earlier forms of AI used to generate text.

History and Background of GPT-series

OpenAI’s 2020 unveiling of the GPT-3 natural language processing system, which learns from large amounts of digital text, was made possible by OpenAI. It’s designed to create new, intelligent content.

It can generate text that is similar to human writing. Its versatility has made it an effective tool for natural language processing.

GPT -3’s speed and responsiveness accuracy have made it an excellent tool for creating new intelligent content. GPT-3 is not like other natural language processing systems. It doesn’t require any training to understand the task.

OpenAI’s third-generation natural language processing system, the GPT-3, is now available. The model was developed several years before its launch. This article will cover the development of the system and its various variants.

GPT was not available before natural language processing models had to learn from large quantities of labeled data. They could not perform tasks that were not part of their normal training.

OpenAI created a Generative Language Model to overcome these limitations. It uses unlabeled data to create a language model capable of performing various tasks. It can do sentiment analysis and classification.

In 2018, the company released GPT-1. It learned and acquired extensive knowledge through its extensive training using a huge BooksCorpus database.

The GPT-1 performed zero-shot tasks in various tasks thanks to its pre-training. This showed the potential of generative modeling to be effective for natural language processing.

OpenAI has released the Generative Pre-trained Transformer 2 model in 2019, which is a stronger version of the GPT-1. It uses the decoder of the transformer model to create a stronger language model, just like its predecessor.

The model has been trained with various data to perform tasks such as translation and summarization. The model’s ability to predict sentences and identify long-range dependencies has been significantly improved.

Generative pre-training model 3 is an enormous language prediction model that generates long text sequences. It was the first AI language program to be developed by OpenAI.

The GPT-3 model can currently only be accessed via an API on the cloud. This model has been used in many interesting ways. Its massive size makes it ideal for developing new intelligent content.

GPT-3 is trained using a huge data set that includes the Common Crawl, a document with 500 billion words. Thanks to its many capabilities, it can solve simple math problems and perform intelligent tasks.

Due to its complexity, the GPT-3 model is often referred to by developers and researchers as the ultimate black box AI program. It is, therefore, very costly to infer.

GPT-3 was created to improve its language processing capabilities. Unlike previous models, it doesn’t require any training to learn how it performs downstream tasks. GPT-3 is not like other models. It doesn’t need fine-tuning to make the most of its capabilities. It became the world’s largest neural network with 175 billion parameters.

GPT-3 can respond to any text. This makes it an excellent tool for creating new intelligent content. You can use its capabilities for many tasks such as code generation, customer service, document searches, and customer service.

Examples of AI written content

Today’s AI written content is a very different proposition from what was developed just a few years ago. The more recent developments have taken advantage of much more advanced capabilities that have come a long way.

The AI systems of today can generate fully formed paragraphs and even whole documents. This is a far cry from what was being built just a few years ago.

We here at Growthland have used AIs a lot the recent years. Currently, we use 5 AI’s to write our content. That’s why we wanted to add here a couple of examples of what kind of content AI is capable of writing.

3 Quick Examples of AI Written Content

Here’s a paragraph generated by our AI about carbon footprint:

”We all know that the health of our planet is of paramount importance. We are all aware of the imminent dangers of climate change and the environmental impact of our actions. Carbon footprint refers to the amount of carbon emissions a person, community, or even a business produces. It is a good indicator of how environmentally friendly a person, community, or business is. It is important to reduce your carbon footprint. The more you reduce your carbon footprint, the more you help protect the environment.”

And here’s about why to outsource your digital marketing:

”Many businesses hesitate to outsource their digital marketing. But if done properly, outsourced marketing campaigns can bring high ROI and generate more traffic. Here are some reasons why you should consider outsourcing your digital marketing. One of the benefits of outsourcing is that the company that handles your digital marketing can take it in a completely new direction. While in-house marketers can only offer a limited range of services, an agency can take your marketing efforts to the next level.”

Or maybe you want to know more about why it is smart to let a professional plumber do the plumbing for you:

”Professional plumbers have many years of training and experience. They deal with plumbing problems on a daily basis, and they know how to quickly and efficiently identify and fix complicated problems. They also have the proper tools to install pipe sizes and maximize flow properly. You should only attempt to perform plumbing repair projects yourself if you are 100% sure of your skills. However, if you have no experience in plumbing, consider calling a professional.”

So as you can see, AI can write about almost any topic. The above ones are just raw texts, so if we used them in our client work, we would continue refining them with real humans and other AIs.

The pros and cons of AI written content

There are both pros and cons when it comes to using AI-generated content.

On the one hand, AI written content can be used to make your website more dynamic and interesting, which can increase your conversion rate and keep your visitors engaged. On the other hand, if you use AI-generated content without adding your human touch, your website can come across as robotic and inauthentic, which can have the opposite effect.

But the reality is that you can use AI written content to strike a balance between the two.

Pros

One of the biggest advantages of using AI written content is that it saves a lot of time for you. You can use AI to generate content for various purposes, such as blog posts, webpages, and website content. This means that you don’t need to spend a lot of time writing, focusing on other important aspects of your business. Another advantage of using AI-generated content is creating content perfectly suited to your target audience.

As stated above, you can create a lot of content without spending a lot of time on it. This also makes it easier for you to keep your website updated with fresh content and help improve your SEO. You can also use it to address topics you don’t have the time or expertise to cover. This can help you cover topics that your audience is interested in.

Cons

On the other hand, there are also some cons to using AI written content. One of the biggest cons of using AI-generated content is that it can sometimes come across as robotic and inauthentic. This is especially true if you use it without adding your human touch. However, your website can become too bland if you use too much human-generated content.

In order to strike the right balance, you should write a few human-generated sentences and paragraphs to go along with the AI written content.

How to write content with AI

Okay, so now you may be thinking that If I want to use AI to write my content, where should I start? There are two ways to get started; do it yourself or outsource it to an agency like us.

Do It Yourself

If you want to do it yourself, here are a couple of tips to get started.

The first thing you should do is figure out what type of AI-generated content you want to use. You can use text-generating bots to generate text by combining pre-written sentences, or you can use AI that generates images, text, or video. You can also use a combination of both. Once you’ve decided on what type of AI-generated content you want to use, you can create an AI-generated content strategy.

Then you should find an AI-writing platform. There are many AI-writing platforms, such as Hyperwrite, Copymatic, Rytr, or Jasper. Each platform works a little bit differently, but they all have the same goal of helping you create content.

For example, let’s say you want to create blog posts. In that case, you can use a platform such as ArticleForge, which will give you short blog posts on various topics. You can then use your human touch to refine those AI written blog posts.

Even though using AI makes the writing process a lot faster, it still requires an artistic approach to achieve good content that answers your target audience’s questions and appears authentic, enjoyable pieces of work.

Outsource Your Content Writing

The other way (which we recommend) is to outsource the AI-infused content writing to growth hacking agencies like us. This way, you can focus on growing your business without worrying about constantly creating content. Our growth hackers will use our secret combination of 5 highly customized AIs to write content for you, which saves you time and helps you achieve your actual goals.

Outsource your content writing to an agency like us, and we’ll take care of the hard work of finding and crafting good AI written content for you. You can see our pricing here.

One Last Thing

This whole article was written by our AIs and only monitored (so that we can make sure the facts stated in this article are true) by our growth hackers. We hope that you liked the article and got a better understanding of the real power of AIs when professionals are involved. Got excited? Let’s talk!

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This article about AI Written Content is written by our artificial intelligence, William the Growthland AI. All facts stated in this post are double-checked and approved by a real human.