GPT, or Generative Pre-trained Transformer, is an advanced machine learning model used for natural language processing. It works by taking in large amounts of text data and using it to generate human-like responses to given prompts.

GPT models have been trained on massive amounts of data, which makes them capable of generating highly coherent and contextually relevant responses.

To build apps with GPT, you’ll first need to choose a programming language and a framework that supports natural language processing. Some popular options include Python, TensorFlow, and PyTorch. You’ll also need to have a good understanding of machine learning concepts and techniques.
Once you have the necessary tools and knowledge, you can start building your app by training a GPT model on a specific dataset. You’ll need to fine-tune the model to suit your specific use case, and then integrate it into your app’s architecture.

Overall, GPT is a powerful tool that can be used to build a wide range of natural language processing applications. You can watch the live presentation by steamship members presentation at Harvard University.

GPT is a smart computer program that helps understand and work with human language. It learns from lots of text and can create answers like people do. To make apps with GPT, you need to pick a computer language like Python and learn about how machines can learn.

When you know enough, you can teach GPT with a special set of texts. You need to adjust it so it works well for your app’s purpose. Finally, you put GPT into your app’s design.

In short, GPT is a strong helper for making many kinds of apps that work with human language.