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 platform and our internal systems rely on software that is highly technical and complex. In addition, our platform and our internal systems depend on the ability of such software to store, retrieve, process, and manage immense amounts of data. As a result, undetected vulnerabilities, errors, failures, bugs, or defects may be present in such software or occur in the future in such software, including open source software and other software we license in from third parties, especially when updates or new products or services are released. Any real or perceived vulnerabilities, errors, failures, bugs, or defects in the software may not be found until our consumers use our platform and could result in outages or degraded quality of service on our platform that could adversely impact our business (including through causing us not to meet contractually required service levels), as well as negative publicity, loss of or delay in market acceptance of our products and services, and harm to our brand or weakening of our competitive position. In such an event, we may be required, or may choose, to expend significant additional resources in order to correct the problem. Any real or perceived errors, failures, bugs, or defects in the software we rely on could also subject us to liability claims, impair our ability to attract new consumers, retain existing consumers, or expand their use of our products and services, which would adversely affect our business, results of operations, financial condition, and prospects.
Assistant: