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 earnings and cash flows are largely dependent upon our net interest income, which is the difference, or spread, between the interest earned on loans, securities and other interest-earning assets and the interest paid on deposits, borrowings, and other interest-bearing liabilities. Interest rates are highly sensitive to many factors that are beyond our control, including general economic conditions and policies of various governmental and regulatory agencies and, in particular, the Federal Reserve. In March 2020, in response to the COVID-19 pandemic, the Federal Open Market Committee (“FOMC”) of the Federal Reserve reduced the targeted federal funds rate 150 basis points to a range of 0.00% to 0.25%. The reduction in the targeted federal funds rate resulted in a decline in overall interest rates which negatively impacted our net interest income. Starting in March 2022, the FOMC has increased the targeted federal funds rate eleven separate times, raising the rate by 525 basis points to a range of 5.25% to 5.50%. If the FOMC further increases the targeted federal funds rates, overall interest rates will likely rise, which will positively impact our net interest income but may continue to negatively impact both the housing market, by reducing refinancing activity and new home purchases, and the U.S. economy. In addition, deflationary pressures, while possibly lowering our operational costs, could have a significant negative effect on our borrowers, especially our business borrowers, and the values of collateral securing loans which could negatively affect our financial performance.
Assistant: