While working on anything related to the modern technology, you might wonder, which task is a generative AI task? It can be defined as a simple task where AI creates a new thing. It can be in any form like text, generating a video, writing any code or making of any video. In this blog, you will get a clear concept with 8 Easy examples and much more!
A Simple Test to Find Which Task Is a Generative AI Task?
The simple test that I have performed was asking a question whenever I entered a prompt. Did AI make something new or different. If its a new paragraph, any video, image or song, then it is surely a generative AI task. A simple way to remember this is that if it makes something it is AI generative and if it checks something, it’s not. To make things more clear for you, let’s have a look on the below examples
8 Easy Generative AI Tasks Examples
Writing a New Email From a Simple Idea
If you want your Saturday off and want an email then AI can turn your simple email idea into a new email. AI will give you the email with greetings, a detailed description and a professional ending. Now if you have been thinking, what is a generative AI task example, the above example is a clear answer to your question. To get more understanding, let’s move to example 2
Creating an Image from a Prompt
You want to renovate your house and have rough interior design ideas in mind. If you give instructions to AI with a short description. It will not search the internet rather it gives a picture based on what you have asked. That’s why this task is generative.
Summarizig a Document
If you want a short summary of any long research paper to get an idea about th article. Then you can generate it from AI. The AI reads the text, and gives you the main points in the form of th new sentences. Hence, this also counts as a generative task.
Generating Computer Code
If you ask AI tool to remove the repeated digits from a list that it gives you a working number. Coding is a language and generating some new code for a specific function is a AI generative task. Developers take help from the AI to remove errors, moving code from one programming place to another
Rewriting Any Text
If you are thinking to send someone any message but in a professional tone and don’t know how to do that? Don’t worry, you just need to write the your idea. For example; you write the prompt “send me the file right now” and now you want this message to be professional. The meaning will remain the same but AI will generate a new message “Could you please send me the report when you have a moment”.
Translating Text Into Different Language
If you are still thinking what could be another AI generative task, then another example is translating text into different language. The older tools replace every single word that gives strange meaning and disrupts the flow of the text. However, new AI tools understand the meaning and then gives a new passage into another language. However, in some cases like medical papers or legal documents, any human expert can reevaluate the text.
Creating New Sound Effects
If you give an idea of sound effect to AI like you want a “peaceful music for sleeping” or want a birthday song especially with a name of someone, you will get it. AI will create an original sound track that did not exist before. This is another example of AI generative task.
Turning Text Into a Voice
If you want to listen to any text again and again while doing any work because you cannot read it. You simply need to give that text to the AI and it can read that in a warm natural voice. This is becoming a very common thing as people use it in podcasts, learning apps and videos because it saves alot of time as well
Tasks That Are Not AI Generative Tasks
It is easy to feel confused when you ask which task is a generative AI task, because many AI tools sound smart and modern. But being smart is not the same as being generative. A generative AI task creates something new, like a paragraph, a picture, a song, or a piece of code.
These tasks are also automated with AI but they don’t produce anything. They simply review information to sort, count, guess about, or place elsewhere. Let’s take a look at the most common ones in simple terms.
Spam Detection
Consider your email.Reflect on your email account. New e-mails arrive every day, and some of them are junk emails. An AI tool analyzes every email and makes a judgement: “Is this spam or is this a normal message?” Then it sends the mail to the appropriate folder.
Notice the creative work done by the AI in this scenario. It didn’t create a new e-mail, it didn’t make anything new. It only looked at an email that was already there and put it into a group. This type of activity is called classification, and it is not a generative AI activity.
Sales Forecasting
Suppose a shopkeeper would like to determine the number of shoes to sell next month. A computer program using artificial intelligence analyzes the last few months’ sales and the last year’s sales, and tells you that you are likely to sell 300 pairs.
The answer will be a number – and it will be a wild guess, using old data. The AI didn’t author a book, paint a painting, or create any art. This is termed as prediction. It can be useful for planning but it cannot be generative.
Product Recommendations
You have seen this on shopping apps “You may also like these items.” The application recalls your previous purchases or viewed items, and displays related products.
This is the key. The products are already available in the store. It’s simply selecting names from a dropdown menu, akin to a helpful shop assistant indicating shelves. It is not your personal designer or inventor of a new product. This type of work is referred to as recommendation and is not a generative AI activity.
Extract data from invoices
Hundreds of bills and invoices are received by many companies. A few tools process each invoice, calculate the total, get the date, and the company name, then paste them in a spreadsheet.
That’s a huge time saver but it’s just a redelegation of information from one place to another. It’s similar to doing a photocopy of numbers onto a notebook. No new writing or creation is done. This type of work is considered data extraction, which is not generative.
Sorting Support Messages
Suppose a customer sends an email to a company that says, “I paid twice for my order. The AI tool reads the message and recognizes it as a payment-related message, then routes it to the billing team.
It’s a good job, the right team gets the message sooner. However, the AI only determined the place of the message. It did not send a response or make anything new. This type of work is known as sorting (or routing) and is not generative.
Final Words
So, which task is a generative AI task? It is any task where the AI creates something new, like text, an image, a song, or code. If the AI only sorts, guesses, or picks from existing data, it is not generative. Next time you are unsure, just ask: did the AI make something new? However, you need to remember one thing that the tools create things in seconds but still these need to be checked by experts. If you are using generative AI for any task make sure that you use it with care. For instance, reevaluate numbers, facts, or important details befoe sharing or publishing.
FAQ’s
Which task is a AI generative task?
A generative AI task is any task where the AI creates something new, such as text, an image, a song, a video, or code. Writing an email, drawing a picture from a prompt, and summarizing a document are common examples.
Which tasks are not AI generative tasks?
Some of the examples are spams detection, AI forecasting, product recommendations etc ae not AI generative tasks
Is summarizing a document a Generative AI task?
Yes. The AI will not plagiarize the original text. Reads the document and writes shorter sentences that restate the main ideas. This text did not exist before, therefore summarizing is a generative AI task.
What are key risks of using generative AI?
There are some important risks associated with using generative AI are security, operations, privacy and ethics.
