In the 2023 movie Megan, a pre-trained humanoid, protects her friend Cady against all odds. However, to everyone else, she’s the villain who wreaks havoc by taking the lives of innocent people for her (ahem) BFF.
We’re in a newfound age of generative AI where each step can either push us twenty years into the future or end our existence. Our steps need to be calculated and as free from risk as possible.
AI has helped automate manual processes and given rise to a digital “present.” In content creation and branding, AI-generated text has been the newest addition, and constant improvements in AI writing assistants software have relieved content writers of the dreaded “writer’s block.”
But the question looms, will AI-generated text get as perfect as content written with a golden eye?
AI-generated text is automated content processed by artificial intelligence tools. It’s reinforced with the generative pre-transformer (GPT) algorithm and large language models (LLM) software. LLM is a neural network architecture that is fed on large bouts of online data and trained to make inferences, classifications and new text generation.
Given the sudden injection of AI into commercial and non-commercial domains, businesses are playing the AI card more than ever. AI copy is fueling the vision of emerging entrepreneurs as well as well-established brands. And with newly introduced generative AI tools like application programming interfaces (API), algorithms, and large datasets, computers are getting smarter.
So far, AI tools like ChatGPT, Midjourney, or Bard have succeeded in coming the closest to understanding and simulating human intelligence.
Do you know? The global natural language processing market was valued at $15.7 billion in 2022 and is projected to reach $49.4 billion by the end of 2023, with a CAGR of 25.7% during the forecast period.
Source: Markets and Markets
AI-generated content or synthetic media is the artificial production and manipulation of existing data into words and sentences. AI tools can quickly generate text, presentations, images, and even videos, in a concise format. Marketers can take advantage of AI multimedia content for branding, emails, or newsletters.
With AI, writers can generate high-quality content much faster. Of course, it cannot replicate the capricious charm of how human beings write, but it can intelligently produce relevant work in seconds.
AI text generators work on a transformer-based architecture. The algorithm is trained on large input datasets created with words culled from the internet and other reliable sources. These datasets are fed to machine learning or deep learning models to extract, trigger, and decide on appropriate output.
AI-generated images are preprocessed images that you can download with a simple textual prompt. AI-based image generators convert the information within a text, categorize it, and search for the right visual for the output.
They don’t just rip any image off the internet. AI generators build graphic illustrations, vectors, icons, and other parameters on the backend so you get a unique image. If the user types a text prompt and clicks "image generator," the algorithm calibrates tons of captivating images to pick one from.
You can use AI image generators to get drawings, graphs, clip arts, gifs, and multimedia content in seconds.
AI-generated art is built by training machine learning or neural networks on a large dataset of existing work, producing synthetic images in response to textual queries. Users can replicate any art, abstract, drawing, song, or poetry, with AI art generators.
Fast and efficient algorithms spot patterns and styles in the dataset and generate new art. With the sudden push of AI, people are using it to recreate virtual vocalists, caricatures, music concerts, and website art.
The AI-generated text has seeped into every crevice of business processes. Companies are testing AI for different verticals, from customer service to branding to investor-side content. Whether sending a newsletter, creating ad copies, or writing blogs focused on search engine optimization (SEO), AI-generated content is a welcome guest everywhere.
AI text generator is a large language model (LLM) that works on the simple rules of language and sentence building. It’s powered by a deep neural network and natural language processing (NLP) that work on large datasets containing published work, books, and articles.
Based on the trained algorithm, AI text generators form a word in response to user queries. Based on the new word, they go on to produce a string of words that are highly coherent and sensible.
APIs, like GPT-2, GPT-3, and GPT 3.5, are powered with NLP software, which teaches machines the primary language, grammar, and syntax rules. Apart from NLP, natural language understanding (NLU) software, reinforcement learning with human feedback (rlhf), and general adversarial networks create human-like content.
Apart from generating AI text, NLP is also used for other specific tasks:
NLP mainly works on four broader categories of language identification.
In NLP, large datasets are consumed by machine learning algorithms to produce AI content. The constant learning and feedback cycle of algorithms generate the right output. Where machine learning becomes tricky is observing the newer queries and training for the exact content match. It relies on techniques like K-nearest neighbor to classify text and give a contextual output.
Despite the initial aversion to AI, brands are now automating email responses, advanced data reasoning, and document collaboration with AI-generated text.
You can make up any kind of content through an AI text generator. Marketers use it for punching up:
Let’s look at where all AI-generated text can fill in as a replacement:
Different companies use open-source APIs like GPT-2 or GPT-3 to develop their versions of AI text generators. Adding a simple user interface over an open-source API can help you automate document creation and sell the new software.
Because it’s in the research stage, open-source large language models are free for everyone to use. This is great, but the accessible nature of such tools and APIs makes them prone to malicious activities.
AI-generated text can give way to anti-nationalist manifestos, terrorist activities, or disturbing movie scripts. To create a line of demarcation between AI-generated text and human text, a few methods have been ideated by researchers.
The Watermark method was first proposed by Tom Goldstein, a computer science professor at the University of Maryland. Embedding digital watermark signals in large language models helps detect AI text.
The watermark won’t harm the algorithm or the API, nor will it be visible to the human eye. The embedded signals can also be classified as green tokens, which means you can break them down to detect the text's origin.
As AI tools generate new words based on past patterns and inputs, every time the model uses an AI-generated word, a watermark gets activated and executed. If the word is taken “as is,” the token is not executed. These tokens or watermarks can be analyzed to decipher who banged out the masterpiece: AI or a human.
However, if not scrutinized properly, users might leverage the non-watermarked versions for malicious purposes.
To spot artificial text, you don’t have to go to the app developer. Instead, sprinkle a few drops of outliers or poison into your online data. A large language model will scrape this raw data as a part of the refined dataset. These refined datasets can then be used to train algorithms safely.
Once the algorithm has learned the input dataset, look for traces of poison. If the machine learning model trained on this dataset produces an output, the traces of artificial text will be visible.
It’s all a matter of the randomness and homogeneity of the text put forth at the reader’s disposal. The more random the text is, the higher the probability that AI generates it.
AI can't emulate the natural writing process of humans. Each dendrite of the human nervous system works in unison to put together a perfectly chiseled writing piece. Unfortunately for AI, it’s got a long way to go, still.
AI-detection tools split the difference between human and artificial content. Although these classifiers aren’t 100%, they might prove beneficial in some cases.
Open AI’s trained classifier analyzes whether a piece of content is “likely written by AI” or a human being. Although the classifier doesn’t guarantee 100% accuracy, spotting the presence of AI text would prevent the misuse of AI in critical matters – automated email campaigns, academic dishonesty, and educational web content, for example.
The classifier works on a simple principle. It’s a large language model trained on pairs of human- and AI-generated text. The data is sourced from various channels like pre-training data, human demonstrations, and prompts from forums. The data is then divided into “prompt” and “response.” For the prompts, responses were generated through different language models. For their web version, the “false positive rate” is low, meaning the classifier would only categorize text as “likely AI-written” if it strongly feels so.
We have been aware of the benefits of written content for both personal and professional scenarios. In a personal setting, it helps you manage budgets and create household to-do lists. In a professional environment, content use cases are endless.
With the advent of AI-generated text, most of the tedium of content writers and editors has been eliminated. Rather than spending countless hours writing, proofreading, and getting feedback or approval, they can draft fine-tuned content in a fraction of the time.
This is how AI-generated content simplifies the lives of daily content hustlers.
AI can shoulder most writing responsibilities, and it’s also changing how brands view content. Previously, brands gave preference to the “creative ideas” of writers. But now, as AI tools process information on a large scale, brands are becoming more “basic.”
Although this might not be a dealbreaker, this and a few other aspects warrant caveats for the upcoming generation of content marketers and writers.
AI writing assistants use self-evolving technologies like NLP to simplify the writing process. Users can query about keyword search, grammar, tone checking, article outline, and article samples to get the assistant aligned with the relevant topics. Natural language processing does all the legwork for writers so that they finish more writing tasks in the nick of time.
To be included in the AI writing assistant category, the software must:
*The following data was collected from G2 Spring 2023 Grid Report on May 2023. Some reviews might be edited for clarity.
Grammarly Business is a pioneer in developing AI products and helping users write. With their newly launched plugin, Grammar Go, users enhance creative ideas, title suggestions, email subject lines, and calls to action within a few clicks. The system works on built-in principles of large language modeling, cloud computing, data compliance, and security, all of which attest to the uniqueness and accuracy of the text.
Grammarly has spearheaded professional growth for over 50,000 small-scale and enterprise-level organizations that have embraced the AI revolution.
“Grammarly has been an excellent tool for our organization. Our grants department has taken full advantage of all the different features of the software, implementing succinct changes that have helped us reach different goals. The marketing and communications team uses it to help proofread their work and craft better materials. The whole staff enjoys using the tools!
As an administrator, we have created style guides for our departments, providing great rules to convey our organization's values better.”
-Grammarly Business Review, Hector G.
The Grammarly suggestions won't sometimes work due to changing the different languages; I type an English word with mistakes in the chat window, but it stays the same. Grammarly should work in offline mode. When the network connection is not good, it will be beneficial in offline mode.
- Grammarly Business Review, Vikram G.
Jasper is a pioneer in producing 100% original, high-quality, and plagiarism-free content. With a backend mechanism that supports more than 30 languages, Jasper helps you create, edit, and research content in your chosen language. Look no further if you want a free alternative for producing long-form content. It supports email creation, landing page copies, product descriptions, blogs, titles, and articles.
In Jasper’s free plan, you can access unlimited words, 50 templates, one brand voice, Jasper Art, and a plagiarism checker.
Jasper is a great AI that will create helpful written content. Jasper is everything I have come to expect over the many years of using this AI. You can be sure pricing will be around the same as other competitors, if not less expensive. I use the highest tier, saving time and money as I learn how to use the platform.
- Jasper Review, Justin O.
When you insert text in the middle, the app generates text based on the text written before the insertion. It does not fully integrate it in the text after the insertion.
It can make up facts sometimes, so the content must be validated.
- Jasper Review, Mohamed W.
Anyword is a one-stop solution for all your ad-hoc content needs. It’s one of the most prominent copywriting and content optimization platforms for recurring document creation.
Optimize ad copies, make social media captions, and email campaigns with Anyword at a fraction of the cost of other AI assistants. Its NLP and neural network mechanism creates top-notch suggestions for users to make their marketing worthwhile.
Anyword has increased my output in all parts of my career by 10 tens. I put rich, focused content or curate ideas through this tool. I love everything about Anyword.
- Anyword Review, Amber M.
It would be cool if they added a citation generator. This is an area that I always struggle with, and I have to purchase another service for this task. It would be cool if this were all in one place.
- Anyword Review, Corin R.
Pepper Content is a freelancing and content assistant website where you can sign up to auto-generate topical content. With its large swath of freelance writers, word generators, and artificial intelligence, Pepper Content has increased its user base by a whopping 63%!
The best thing about Pepper Content is that they have created a complete tool that assists me with all parts of content creation, including blogging, social media captions, Google Ads copies, and so much more. The AI generator is quite amazing. I like where the product is heading.
- Pepper Content Review, Shivam A.
I think I dislike that Pepper’s internal communication is not that good. There's a lot of back and forth happening in between the project, which could be improved easily.
- Pepper Content Review, Deb Milan G.
Writesonic is a text-to-image generator and AI detection platform that automates content creation through AI functionality and detects the presence of AI-generated text. Its quick and efficient engine helps curate long-form and short-form content, images, and multimedia. Writesonic is one of the oldest and strongest AI text generators, trained on user reviews, feedback, and prompts.
Writesonic is a must-have for any marketer looking to generate high-performing copy in any capacity. It's affordable, easy to use, and boasts a large library of prompts so you'll always have ideas. The intuitive interface makes it easy to use, while the library of prompts offers a wide range of options to create content tailored to my specific needs. Whether I'm crafting social media posts, email campaigns, or even revamping my résumé, Writesonic has me covered.
- Writesonic Review, Katlynn Y.
Having to upgrade to get better features. It's how we keep Writesonic running, but if we had a portion of those new features without having to update it, then it would be amazing.
- Writesonic Review, Hani N.
For writers, AI-generated text is a hard pill to swallow. Gripped with the fear of AI replacing them, some are simply trying to ignore it. However, reality changes with time, and the writers embracing the new technology revolution will remain and thrive.
2023 started with a huge AI bang! Learn about the upcoming AI trends in 2023 to stay on top of the current tech market.
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