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: Liquidity is essential to our business. We rely on a number of different sources in order to meet our potential liquidity demands. Our primary sources of liquidity are increases in deposit accounts, cash flows from loan payments and our securities portfolio. Borrowings also provide us with a source of funds to meet liquidity demands. An inability to raise funds through deposits, borrowings, the sale of loans or debt securities and other sources could have a substantial negative effect on our liquidity. Our access to funding sources in amounts adequate to finance our activities or on terms which are acceptable to us could be impaired by factors that affect us specifically, or the financial services industry or economy in general. Factors that could detrimentally impact our access to liquidity sources include a decrease in the level of our business activity as a result of a downturn in the Georgia, North Carolina, South Carolina, Tennessee and/or Virginia markets in which the majority of our loans are concentrated or adverse regulatory action against us. Our ability to borrow could also be impaired by factors that are not specific to us, such as a disruption in the financial markets or negative views and expectations about the prospects for the financial services industry or deterioration in credit markets. In particular, our liquidity position could be significantly constrained if we are unable to access funds from the FHLB Atlanta or other wholesale funding sources, or if adequate financing is not available at acceptable interest rates. Finally, if we are required to rely more heavily on more expensive funding sources, our revenues may not increase proportionately to cover our costs. Any decline in available funding could adversely impact our ability to originate loans, invest in securities, meet our expenses or fulfill obligations such as repaying our borrowings or meeting deposit withdrawal demands, any of which could, in turn, have a material adverse effect on our business, financial condition and results of operations. See “Item 7. Management’s Discussion and Analysis of Financial Condition and Results of Operations – Liquidity” of this Form 10-KT.
Assistant: