Description

GPT, or Generative Pre-Trained Transformers are a group of neural network-based language prediction models that uses the transformer architecture. GPT models allow us to develop application that have the capability of interacting with the user in a human-like behaviour. Organizations across industries are using GPT models and generative AI for Q&A bots, text summarization, content generation, and search.

What has made GPT receive the spotlight in recent years is the scale at which it operates, together with the time it takes to operate. For example, if we wanted to write an article on any topic, a human would have to research said topic and they would have to write and edit that article. All of that work would take several hours to accomplish. A GPT model would produce the same amount of work in just a few seconds.

Training

GPT models are trained using massive language datasets consisting of hundreds of billions of parameters. They can take input context into account and dynamically attend to different parts of the input, making them capable of generating long responses, not just the next word in a sequence. For example, when asked to generate a piece of Shakespeare-inspired content, a GPT model does so by remembering and reconstructing new phrases and entire sentences with a similar literary style.

Examples of Use Cases

1. Create social media presence

   • Digital marketers, assisted by a GPT model, can create content for their social media campaigns. For example, marketers can prompt a GPT model to produce an explainer video script. GPT-powered image processing software can create memes, videos, marketing copy, and other content from text instructions.

2. Convert text to different styles

   • GPT models generate text in casual, humorous, professional, and other styles. This allows you convey the same information with a vastly different way, depending on your target audience. For example, you can have a use case scenario be explained for a tech savvy audience, and a second explanation for a more business-oriented audience.

3. Write and learn code

   • As language models, the GPT models can understand and write computer code in different programming languages. The models can help learners by explaining computer programs to them in everyday language. Also, experienced developers can use GPT tools to autosuggest relevant code snippets.

4. Analyze data

   • The GPT model can help business analysts efficiently compile large volumes of data. The language models search for the required data and calculate and display the results in a data table or spreadsheet. Some applications can plot the results on a chart or create comprehensive reports.

5. Build interactive voice assistants

   • The GPT models allow you to build intelligent interactive voice assistants. GPT models can produce chatbots with conversational AI capabilities using human-like behaviour and responses when paired with other AI technologies.

References

1: "What is GPT?" (https://aws.amazon.com/what-is/gpt/)