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: We rely on our cash and cash equivalents, cash flows from operations and borrowings under our credit agreement to fund our short-term and anticipated long-term operating activities. We currently have a revolving credit facility with our bank for up to $250.0 million, which may be decreased at CRA's option to $200.0 million during the period from July 16th in a year through January 15th in the next year. Additionally, for the period from January 16th to July 15th of each calendar year, CRA may elect to not increase the revolving credit facility to $250.0 million. The amounts available under this revolving credit facility are constrained by various financial covenants and reduced by certain letters of credit outstanding. At February 24, 2023, we had no borrowings outstanding under the credit agreement and approximately $195.6 million available for future borrowings, after consideration of outstanding letters of credit. Our loan agreement with the bank will mature on August 19, 2027. The degree to which we are leveraged could adversely affect our ability to obtain further financing for working capital, acquisitions or other purposes and could make us more vulnerable to industry downturns and competitive pressures. Our ability to secure short-term and long-term debt or equity financing in the future will also depend on several factors, including our future profitability, the levels of our debt and equity, restrictions under our existing or any future revolving credit facility, and the overall credit and equity market environments.
Assistant: