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: Our profitability depends to a large extent upon our net interest income, which is the difference between interest income earned from loans and investments and the interest expense paid on deposits and borrowings. Net interest income is our largest source of revenue and can be affected significantly by changes in market interest rates, including in the shape of the yield curve or in spreads between different market interest rates, as well as by changes related to inflation. In particular, changes in relative interest rates may reduce our net interest income as the difference between interest income and interest expense decreases. As a result, we have adopted asset and liability management policies to minimize the potential adverse effects of changes in interest rates on net interest income, primarily by altering the mix and maturity of loans, investments and funding sources. See Item 7. “Management’s Discussion and Analysis—Risk Management Policies—Interest Rate Risk” for additional information regarding the Company’s asset and liability management policies and practices, as well as its interest rate risk position, including assumptions used in determining such, as of December 31, 2023. There is risk that any change in interest rates could negatively affect our results of operations or financial condition. Because market interest rates may change by differing magnitudes and at different times, significant changes in interest rates over an extended period of time could reduce overall net interest income.
Assistant: