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: We maintain manufacturing operations in North America, the United Kingdom and China, and we export products to various countries. We purchase materials and sell our products in foreign currencies, and therefore currency fluctuations have and may in the future impact our pricing of products sold and materials purchased. Sales to non-U.S. customers make up a significant percentage of our total revenues. For example, the percentage of our business with customers outside of the U.S. was 49% in 2023 and 48% in 2022. A future strengthening of the U.S. dollar relative to our customers’ currencies could make our products relatively more expensive and may adversely affect our sales levels and reduce profitability. In addition, our United Kingdom and China subsidiaries maintain their books in local currency and their translation to U.S. dollars for our consolidated financial statements have and may in the future have an adverse effect on our consolidated financial results due to changes in local currency values relative to the U.S. dollar. With the rapid pace of geopolitical events, it is difficult at this time to assess any future impact of currency fluctuation on the Company’s financial results, despite our proactive efforts to minimize the short-term risks of currency fluctuations. Accordingly, currency fluctuations could have a material adverse effect on our business, financial condition and results of operations by increasing our expenses and reducing our income. Finally, we maintain certain domestic U.S. cash balances denominated in foreign currencies, and the U.S. dollar equivalent of these balances fluctuates with changes in the foreign exchange rates between these currencies and the U.S. dollar.
Assistant: