Looking beyond the buzz to the real applications of GPT

Kick-starting 2023 by delving into the technology that is shaking up the industry, and raising many questions about its utility and power to change the way we work.

We’ve all seen the posts, raised eyebrows at the enthusiasts, chatted with the naysayers, but the questions remain. Can GPT be used for anything beyond funky content creation for Twitter posts and SEO-driven blog posts?

Yes, it can, and it already is being used in a wide variety of products and services. GPT’s language model may be particularly well-suited to creating content for social media platforms or chat applications, but it can be used for a wide range of natural language generation tasks:

  • Responses to customer inquiries in a customer service chatbot, 
  • Personalized marketing messages, and email responses
  • Human-like text for use in virtual assistants or other language processing applications.

There has been a spurt of products offering these solutions, with a new product being launched every other day. 

But these are not the only uses for GPT3. It can be used for data analysis and decision making. GPT can be trained to analyze large amounts of data and generate insights or recommendations based on that analysis. This could potentially streamline decision making processes and allow for more informed and efficient decision making. There are also several applications to automate and streamline the work of software engineers.

But what I’m really interested in, is its application in creation of pedagogical material. Here are a few ways educators and subject-matter experts can harness the power of GPT to create learning material:

🚀 Practice questions and answers: GPT could be trained on a large dataset of questions and answers related to a particular subject, and then used to generate new questions and answers for use in practice quizzes or tests.

🚀 Summaries of complex concepts: GPT could be used to generate summaries of complex concepts or theories, making them easier to understand for students or learners.

🚀 Interactive tutorials: GPT could be used to create interactive tutorials that respond to user input, providing explanations or additional information based on the user’s needs.

🚀 Personalized study plans: GPT could be used to generate personalized study plans for students based on their strengths, weaknesses, and learning goals. 

This new technology could easily empower creators to rework and publish learning material customised to the requirements of the attention-deficit GenZ that is rejecting traditional models of lessons, and accustomed to a very different style of consuming content. With the help of GPT’s language models, educators can publish micro-lessons to create awareness about various subjects.  

With the content generated by AI, creators can increase their efficiency and be able to publish learning material faster. It will also enable teachers to customise lessons based on different learning goals. 

It’s important to note that while GPT has the potential to be a useful tool for creating pedagogical material, it is only one part of the equation. The other part is, and will always be human. Once edited, and coupled with insights that can only come from human intelligence, AI-generated learning material could be a game changer.

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