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: Venture lenders, in general, focus on a limited set of key financial performance metrics, including minimum liquidity, performance to plan, and investor abandonment, in lieu of a full set of financial performance covenants that do not meaningfully assess the risk of companies at the stage of development of companies in which venture lenders typically invest. As such, many of our loans could be considered covenant-lite by traditional lending standards. We have made and may in the future make or obtain significant exposure to covenant-lite loans, which generally are loans that do not require a borrower to comply with financial maintenance covenants, and may not include terms that allow the lender to monitor the financial performance of the borrower, including financial ratios, and declare a default if certain financial criteria are breached. While these loans may still contain other collateral protections, a covenant-lite loan may carry more risk than a covenant-heavy loan made by the same borrower as it does not require the borrower to provide affirmation that certain specific financial tests have been satisfied on a routine basis as is generally required under a covenant-heavy loan agreement. Generally, covenant-lite loans permit borrowers more opportunity to negatively impact lenders because their covenants, if any, tend to be incurrence-based, which means they are only tested and can only be breached following certain actions of the borrower, rather than by a deterioration in the borrower’s financial condition. Our investment in or exposure to a covenant-lite loan may potentially hinder our ability to reprice credit risk associated with the issuer and reduce our ability to restructure a problematic loan and mitigate potential loss. As a result, our exposure to losses may be increased, which could result in an adverse impact on our revenues, net income and net asset value.
Assistant: