System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: During Fiscal 2024, we generated approximately 44% of our consolidated net revenues outside the United States. As our international business grows, our results of operations could be adversely impacted by changes in foreign currency exchange rates. Revenues and certain expenses in markets outside of the United States are recognized in local foreign currencies, and we are exposed to potential gains or losses from the translation of those amounts into U.S. dollars for consolidation into our financial statements. These amounts can be material. Similarly, we are exposed to gains and losses resulting from currency exchange rate fluctuations on transactions generated by our foreign subsidiaries in currencies other than their functional currencies. In addition, the business of our independent manufacturers may also be disrupted by currency exchange rate fluctuations by making their purchases of raw materials more expensive and more difficult to finance. From time to time, our results of operations have been, and may in the future be, adversely impacted by foreign currency exchange rate fluctuations. In addition, we have previously designated cash flow hedges against certain forecasted transactions. If we determine that such a transaction is no longer probable to occur in the time period we expected, we are required to de-designate the hedging relationship and immediately recognize the derivative instrument gain or loss in our earnings. From time to time, global macroeconomic factors, such as the COVID-19 pandemic, have caused and may in the future to cause uncertainty in forecasted cash flows, which has resulted and may in the future result in the de-designation of certain hedged transactions.
Assistant: