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 large part upon achieving significant market acceptance of Nebula or other new solutions we may develop in the future and we may not be successful in attaining such market acceptance. Nebula is a relatively new offering and we have not derived a significant percentage of our Company’s historical revenue from its sales. The commercial success of Nebula or other new solutions we may offer will depend, in part, upon the degree of market acceptance by our existing and prospective client base. The degree of market acceptance of Nebula and any other solution we may develop in the future will depend on several factors, including the potential and perceived advantages of that solution as compared to other existing alternatives, our ability to offer the solution at competitive prices, the convenience and ease of use of the solution and the strength of our marketing and sales efforts. Any new or otherwise novel solution that we commercialize may not gain acceptance with one or more client groups, meaning we may not generate significant incremental revenue from Nebula. Efforts to educate our existing and prospective clients on the benefits of Nebula, or any other new offering we may develop as compared to other solutions we and our competitors offer, will require committing significant financial and other resources, including the time of our management, sales and marketing teams, and these efforts may not be successful. Further, even if Nebula or another new solution gains some market acceptance, it may nonetheless fail to gain sufficient traction to generate significant additional revenue. We may also over-estimate the size of the potential market for new products such as Nebula. Further, the means by which we make new solutions available to clients, such as the partner channel for Nebula, may not be successful. If Nebula does not achieve widespread acceptance, or in the future if there is a reduction in demand for Nebula caused by a lack of client acceptance, technological challenges, weakening economic conditions, security or privacy concerns, competing technologies and products, decreases in corporate spending, or otherwise, our business, financial condition and results of operations could be adversely affected.
Assistant: