As discussed in the reading, using "few shot" prompting is effective in tackling more complex tasks that require a nuanced understanding of context. By providing the LLM with a few examples of the input$-$to$-$output relationship, the user can help the LLM understand unique situations related to the given task. Which examples are discussed to highlight this approach?

Group of answer choices

Historical events analysis

User reviews

Weather prediction

Mathematical problem$-$solving