AI content tools have rapidly progressed from a thing of curiosity to a must-have tool. Whether you’re a marketer trying to meet deadlines or a technology leader trying to increase content production capacity, AI writing assistants are ready to help. And they’re leveraging some amazing technology.
But what is that magic happening behind the curtain? As we now go behind the curtain of AI writing, we will summarize the key technologies that AI writers use to create content. But we will keep the details simple and avoid the jargon. This is your backstage pass to understand how tools like ChatGPT, Jasper, and others take your ideas and turn them into words in seconds.
If AI tools were people, NLP would be their reading comprehension and listening skills. NLP gives computers the ability to interpret, and even respond to human language. Like when Siri responds to a question and when Google predicts your next search.
When you provide a prompt to an AI writer – like, “Write a fun intro for our summer shoe sale,” – NLP is the first to process your information. It analyzes language structure and intention, and what your natural language translates to in a way that the AI can use.
You’ve already experienced NLP in your day-to-day life. It’s what powers:
In the case of AI content tools, NLP establishes the base level of comprehension before the system can respond or create. This puts the system in a better position to output meaningful, human-like content.
This is where it gets smart. Machine Learning is how generative AI software learns: rather than being told what to do step by step, it looks to millions (sometimes billions) of examples. It finds patterns, makes predictions, and over time gets really good at language imitation.
Deep Learning is just the next generation of ML. This is where it can make use of neural networks (like a brain) and learn more complex things including nuance or sarcasm. It is the reason why today’s AI can draft emails, tweets, blog posts, and even poems that sound more like a person wrote them.
Think of ML as teaching a child with flash cards. Deep Learning is teaching a child through books and conversations until they begin writing novels.
So if an AI tool drafts a witty title, or a heartfelt thank-you email, it is leveraging the expertise it gains from examining mountains of human written content.
Transformers changed the AI landscape forever. Made by researchers at Google, these models leveled-up the game as they introduced the idea of attention. Previously, AI looked at one word at a time. Transformers enabled AI to understand how words relate to each other in a whole sentence (or paragraph) and do this simultaneously.
The introduction of transformers opened the door to LLMs like OpenAI’s GPT-4. These models are trained on large chunks of the internet (think, Wikipedia, news articles, blogs, etc). So they have “read” longer than you ever could.
But they don’t just memorize. LLMs have learned how the language flows. They can correctly:
That is why the same model can draft a press release, brainstorm headlines, or even script a podcast. One model, many functions.
This is where the magic starts to manifest. NLG is the technology that actually writes the words you see on the screen. If NLP is the understanding of what you want, NLG is the AI giving you a response in beautiful prose.
Let’s take a look at how a typical NLG process works:
And voila! You have clear, engaging content that is ready to use for your blog, ad or email – often in just a few seconds!
Many AI content tools come with powerful extras to help your words go further.
Need to turn a blog post into an audio snippet or podcast script? TTS converts AI-written content into spoken word. Modern TTS voices are surprisingly human, complete with tone and pacing.
This is ideal for:
You type. The AI talks.
Good content is only useful if people find it. That’s where SEO tools come in. Many AI writers now include features that:
You can generate content and improve its visibility on Google in one go.
Let’s imagine you are doing a summer promo for your ecommerce brand. You open up an AI writing tool and type:
“Write a cheerful intro for our big summer shoe sale.”
Here’s what happens:
TTS (if you want) gives that same message a voice for your video ad. And just like that, you have gone from concept to finished paragraph in under a minute.
AI content generation is not about replacing human beings – it is about creating time for you to focus on strategy, creativity and human connection. Use these tools to:
Keep in mind – you are still on the steering wheel. The AI provides the rough draft. You take it and work magic.
There is a lot of tech behind every AI writing tool – NLP, ML, deep learning, transformers, NLG – all working together to take raw prompts and turn them into smart, creative content.
As a marketer working under a tight timeline, or a CTO digesting what applications and integrations of AI will come next, understanding the technology behind these tools will only help you steward the process better. It will help you improve your ability to write prompts, understand the cooler outputs, and be aware of when to trust the AI and when to apply the human touch.
Welcome to the future of content creation. It is fast, flexible, and provides more than just code – representation of your ideas.
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