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 continued growth depends in part on the ability of customers to access its tests and services at any time and within an acceptable amount of time. We may in the future experience disruptions, outages and other performance problems due to a variety of factors, including challenges with suppliers, infrastructure changes, introductions of new applications and functionality, software errors and defects, capacity constraints due to an increasing number of customers or security related incidents. In addition, from time-to-time, we or our vendors may experience limited periods of equipment downtime, server downtime due to server failure or other technical difficulties (as well as maintenance requirements). It may become increasingly difficult to maintain and improve our performance, especially during high volume times and as our solution becomes more complex and our customer demand and traffic increases. If our solution is unavailable or if our customers are unable to access our solutions within a reasonable amount of time or at all, our business would be adversely affected, and its brand could be harmed. In the event of any of the factors described above, or certain other failures of our infrastructure, customer or patient data may be permanently lost. To the extent that we do not effectively address capacity constraints, upgrade our systems, as needed, and continually develop our technology and network architecture to accommodate actual and anticipated changes in technology, customers may cease to use our solutions and our business and operating results may be adversely affected.
Assistant: