It may be obvious from the name. Generative, the one that can generate.
An artificially intelligent technology that can generate content on its own based on the inputs. The content type may include text, images, videos, audio, three-dimensional models, and more types of data.
The inputs are usually prompts or instructions to generate the content in a particular way.
How does Generative AI work?
Firstly, neural networks identify the patterns from the existing data and then they generate new content. Since there have been cases where Generative AI used a copyrighted image to create a new one, we can’t say anything about the originality of the content.
Prompting is the main driver when it comes to generating content. It’s a robot (talking about Generative AI here), so it will do as it is instructed, nothing more nothing less.
Generative AI is supposed to be intelligent even for the learning part. Engineers have given it the ability to learn from huge datasets on its own with unsupervised learning which is said to be dangerous and also, not so unsupervised learning.
How can you use Generative AI?
Let a robot write the content#
One of the most common uses of generative AI is to write content. The content type is expansive but not limited to emails, advertisements, resumes, and websites.
In fact, it is advised to take the help of generative AI tools like Jasper AI as they make processes efficient. The efficiency of these AI-based helpful tools depends on your internet connection and Xtream Internet provides one of the fastest internet that enables these tools to respond to your prompts quickly.
It’s actually black and white, you shouldn’t use the content produced by AI as is.
While AI is intelligent, it is not a human. So, the content AI produces might lack an emotional touch that holds its own significance because the content will be presented to humans in one way or another. So, vetting the content thoroughly is the way to go.
Let the AI create visual content
Gone are the days when you had to first capture an image, extensively edit it, and then use it. Or for the matter of videos, a video editor can understand how time-consuming the process of editing is.
But now with the help of generative AI tools like Midjourney and Visla, you can create images and edit videos respectively in 1/3 of the time.
How cool is that?
But it’s not all good and nothing bad. These tools are not perfect and so is their end product. These tools are only reliable when the finished product has gone through human hands.
Also, the images created by these generative AI tools can pose a threat of copyright infringement because the data used to create new content may have copyright claims. So, make sure to let the content go through a copyright checker.
Let a chatbot manage the customer queries
The breakthrough invention of AI learning has enabled AI chatbots to respond to customers.
While some may see it as a death to the jobs that should be entitled to humans. There are two ways to go about it. And we are talking specifically from a business perspective.
The first possibility is to entirely hand over the customer service to the chatbots which can be less costly. The other way is to use chatbots coupled with human input to make things more effective.
The decision, in the end, depends on how customer-focused your business is.
Let the AI educate
One of the greatest pros of generative AI is it can educate based on the student’s abilities.
A chatbot teacher can answer the questions, while another module can work on preparing lectures and class tests for the students. The advent of generative AI has opened up endless possibilities to educate children in regions where little or no teachers are available.
Take, for example, the Bill Gates Foundation is working in Africa to provide education to children using AI. Their model of AI can work and adapt to the intellect level of the students, tailor a lesson plan according to the needs, and answer the queries of students.
AI, not only to cope with the shortage of teachers but can be used to make traditional teaching methods more optimized.
So, all in all, adapting AI can be seen as a good approach.
Summing Up
Generative AI can be our savior in many ways. Nonetheless, there are two aspects of everything. Good and bad. The way we use tech in our daily lives defines how it affects us. So, educating yourself about the good and the bad parts can prove to be favorable.
