Prompt example extracted from Microsoft Prompt Engineering Guide.
Summarize the previous text in a few sentences: Time complexity is a measure of how long an algorithm takes to run. It's typically expressed as a function of the size of the input. The most common measure is worst-case time complexity, which is the maximum amount of time required for inputs of a given size. In computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly estimated by [...] TL;DR (Too long didn't read) The time complexity of an algorithm is the amount of time it takes to run an algorithm. Time complexity is commonly estimated by counting the number of elementary operations the algorithm performs, assuming that each elementary operation takes a fixed amount of time. The time complexity is generally expressed as a function of the size of the input. GPT models can also handle primary content that is structured. In the following example, a TSV about beers in Belgium (abbreviated for display in this article) is part of the prompt. The model can properly interpret the content and answer questions about the data. Prompt
