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 the ability to fund increases in assets and meet obligations as they come due, all without incurring unacceptable losses. Banks are especially vulnerable to liquidity risk because of their role in the transformation of demand or short-term deposits into longer-term loans or other extensions of credit. We, like other financial-services companies, rely to a significant extent on external sources of funding (such as deposits and borrowings) for the liquidity needed in the conduct of our business. A number of factors beyond our control, however, could have a detrimental impact on the level or cost of that funding and thus on our liquidity. These include market disruptions, changes in our credit ratings or the sentiment of our investors, the loss of substantial deposit relationships and reputational damage. Unexpected declines or limits on the dividends declared and paid by our subsidiaries also could adversely affect our liquidity position. While our policies and controls are designed to ensure that we maintain adequate liquidity to conduct our business in the ordinary course even in a stressed environment, there can be no assurance that our liquidity position will never become compromised. In such an event, we may be required to sell assets at a loss in order to continue our operations. This could damage the performance and value of our business, prompt regulatory intervention and harm our reputation, and if the condition were to persist for any appreciable period of time, our viability as a going concern could be threatened. See “Quantitative and Qualitative Disclosures About Market Risk—Liquidity Risk” in Part II, Item 7A for a discussion of how we monitor and manage liquidity risk._
Assistant: