How to transform text input into a question & provide an informative answer using generative AI?

In an era of constant innovation and technological advancement, we are surrounded by boundless opportunities for learning and self-improvement. The emergence of AI and machine learning has revolutionised our ability to access and process information, making it easier than ever to expand our knowledge and enhance our skills.

Now if you think any of these use cases are useful, I invite you to continue reading:

• To understand a text/concept you should answer some questions about it. [self-study]
• It takes me a long time to generate questions to validate students’ knowledge [educator].
• I’m working on personalising the learning experience for students and based on understanding responses I can provide more relevant information. [instructional design content]
• … [tons of options feel free to think about it]

Yes, it is quite interesting to explore how a generative AI model can transform text input into a question and provide an informative answer. This capability holds immense potential for enhancing our understanding of language and facilitating knowledge discovery.

To illustrate this concept, consider the following example:

• Input Text: Nicolas Bortolotti was born 5 August 1981, is an Argentina former professional soccer player
• Question Generated by Generative AI Model: What is Nicolas Bortolotti’s nationality_______?
• Answer: Argentina

Note: these data are fictitious and completely illustrative of the demonstration of the model.

If you are interested in seeing the model and trying it yourself, I invite you to see the full article.