Let’s begin by running NLP tasks online.

We will be using GPT-3 engines in this course. When you sign up for the GPT-3 API, OpenAI gives you a free budget to get started. This free budget should cover most of the cost, if not all of the cost, of running the examples in this course once or twice.

Running NLP tasks online

We will now go through some Industry 4.0 examples without an API,6 directly asking GPT-3 to do something for us.

Let’s define a standard structure of a prompt and response as:

  • N = name of the NLP task (INPUT).

  • E = explanation for the GPT-3 engine. E precedes T (INPUT).

  • T = the text or content we wish GPT-3 to look into (INPUT).

  • S = showing GPT-3 what is expected. S follows T and is added when necessary (INPUT).

  • R = GPT-3’s response (OUTPUT).

The structure of the prompt described above is a guideline. However, GPT-3 is very flexible, and many variations are possible.

We are now ready to run some educational examples online with no API:

  • Questions and answers (Q&A) on existing knowledge:

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