When ChatGPT launched in November of 2022, people were using it like a party trick. The chatbot could write essays, code, and even make jokes. Sure enough, people saw the potential and capitalized fast. But it wasn’t the only thing people were excited about.
Tools like Midjourney and DALL-E started producing “AI art”. People also had access to AIVA, an AI that can compose music. With the emergence of ChatGPT, a new breed of content creation took center stage—generative AI.
What Does Generative AI Mean?
Generative artificial intelligence (AI) is the ability of a program to create its own output. It can do this with the help of machine learning (ML) that’s used to train the AI.
Take a look at ChatGPT (Generative Pre-trained Transformer) a text-based AI that generates output based on user prompts.
ChatGPT uses GPT 3 and 3.5-based language models and machine-learning algorithms to study 45 terabytes worth of text data across the internet.
It finds patterns within the texts, aggregates them, and produces output based on what it thinks the user needs.
Any AI that produces its own output such as art, music, analysis, pattern recognition, forecasts, and more are considered generative AI.
How Does Generative AI Work?
Generative AI works the same way humans do when trying to create—it learns how to. But unlike humans, generative AI can learn from millions upon millions of datasets with ML.
Once trained, it generates output based on the data it was given. The common generative models for this AI are Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
In a nutshell, GAN uses two machine learning models to train at the same time—one for creating outputs similar to the data it trained on and another that provides feedback that improves its output over time.
Meanwhile, VAE is a single machine-learning model that captures key features, structures, and relationships. This allows the AI to generate outputs based on a compact representation of the data it is trained on.
There are a ton of companies working on generative AI. But the undisputed kings would have to be OpenAI, the people behind ChatGPT.
Who Are OpenAI?
OpenAI has one goal—ensuring fully autonomous systems that outperform humans benefit all of humanity.
It’s headed by its President and Chairman, Greg Brockman, Chief Scientist, Ilya Sutskever, and Sam Altman, its CEO. Most people don’t know Elon Musk started OpenAI back in 2015 but later stepped down from his position in February 2018 due to potential conflicts with Tesla. But to this day, he is still one of the main donors of the company.
When ChatGPT was launched in 2022, it really got people talking. It can do creativity-driven tasks like humans can in mere seconds.
Because they released it for free, millions got to interact with the AI and experienced the potential it could bring to industries such as social media, eCommerce, and marketing.
The Explosion of ChatGPT
ChatGPT seemingly came out of nowhere. But its rise to popularity was no surprise for the majority of people. It was free and easy to use. More importantly, its existence shook several industries.
Every day, people were learning how to use ChatGPT in ways they could never have imagined. It became a race to see how the tool could be leveraged to streamline and optimize daily tasks.
A common example would be using ChatGPT in social media. With the help of free social media management tools, ChatGPT can save brands time and resources when doing content campaigns.
How Do You Use ChatGPT?
ChatGPT got popular fast because of how intuitive it was. At its core, ChatGPT is just a simple Chatbot. You ask it something and it answers.
There’s no need to download anything as ChatGPT is available as long as you have a web browser. This goes for both desktop and mobile users.
All you need to do is register for a free account. You can do this with your Google account as well.
As you can see, ChatGPT simply has a text box where you input your prompts. On the left side, you could also see previous conversations you had with ChatGPT as well as options for dark and light modes, Discord integrations for OpenAI, and a link to the latest updates.
You can use ChatGPT for almost any text-based content creation. It can write articles and sales copies, create scripts, or even be a key tool in your social media marketing strategy.
Here’s an example of how to use ChatGPT to create a Twitter Thread. The first thing you need to do is to think of a topic you want to thread to be about. For this example, let’s go for the topic “How to be more productive”.
The key here is to create prompts that are specific. Remember, it’s a conversational tool that can understand the nuances of your sentences.
We entered this prompt: “Make a Twitter thread about how to be more productive. Included 13 tweets in the thread. The first tweet should be an engaging introduction and the last tweet should include a CTA for “ABC”, a company that focuses on productivity tools.”
Here’s the output:
It’s a good Twitter thread complete with an engaging introduction and a solid CTA. In fact, this isn’t even an original idea. According to Stephen Graham, YouTuber Ali Abdaal also used ChatGPT to generate one of his most liked threads:
What Can ChatGPT Be Used For?
ChatGPT is scarily good at what it does. But it can be a hit or miss. When using it, make sure to fact-check the output, edit the content to make it more human, and find sources for the statistics or numbers it might include.
That said, ChatGPT can be used in a lot of ways, some of the best include:
- Writing Code: You can use ChatGPT to write code in different languages. If you’re a web developer, it can even write specific CSS and HTML codes for a specific plugin. It even includes a step-by-step guide on how to implement these codes.
But, the quality of the code generated might not be the most optimized. It can also have a lot of errors. So, be mindful of these when using ChatGPT to streamline coding.
- Explaining Complex Concepts: When trying to learn complex concepts, we mostly go to Google or YouTube. But with ChatGPT, you get the answers you need without going through walls of text or various videos.
However, ChatGPT doesn’t always produce the right answers. Some of the concepts or information included might not be factual. Still, it does provide a good structure for learning things quickly.
- Creating Content Briefs: Content creation takes a lot of time, especially when you’re starting from scratch. But with ChatGPT, you can create content briefs for writers about any topic. You can even specify how many H2 or H3 headers are included.
This can streamline content brief creation so your writers can get to drafting the content your brand needs at scale.
- Writing Content: Speaking of content, ChatGPT can also be used to create both short-form and long-form articles. Although it can generate grammatically correct and informational content, it can be a bit robotic and dull.
However, with the right prompts, you can create engaging content that can provide value to your users at scale. Still, AI-generated content can be easily detected by AI content checkers.
So, Instead of relying fully on ChatGPT for content, writers can use it to streamline content creation or get ideas to get the ball rolling.
- Learning Useful Things: ChatGPT is great for learning. Some say it could even be a Google Killer (if it weren’t for the occasional misinformation).
Still, ChatGPT can be used to help optimize things in your life. For example, you can use ChatGPT to create a diet for you. You can even be specific and make a prompt that includes your current weight, favorite food, and weight goals.
Afterward, it can provide you with a diet plan based on your favorite food and weight goals. But remember, always double-check the output for any misinformation.
Generative AI is changing the landscape of several industries, shaking them to their core. However, real-world applications can be beneficial for millions of people across the globe.
You can use generative AI in medicine to streamline and optimize the detection of disease, forecast potential illnesses based on patient data, and provide immediate assistance.
That’s just one example. The applications for generative AI will only be bound by our imagination. Here’s a quick recap of some important details:
- Generative AI is a program’s ability to generate its own output.
- Machine Learning helps AI learn from datasets and produce the output.
- The most popular generative AI is a text-based language model called ChatGPT.
- You can instruct ChatGPT to produce everything from social media headlines to full articles.
- Always check the output from ChatGPT and other generative AI for misinformation.