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: Like most companies in the agricultural industry, we are continuously challenged to hire, develop and retain a sufficient number of employees to operate our businesses throughout our operating geographies. We may have difficulty recruiting and retaining employees with adequate qualifications and experience. The challenge of hiring new employees is exacerbated by the rural nature of our business, which provides for a smaller pool of skilled employable candidates. A number of other factors may adversely affect the labor force available to us, including changes in the labor market as a result of the COVID-19 pandemic and other socioeconomic and demographic changes, high employment levels, federal unemployment subsidies and other government regulations, unemployment programs and volatility in macroeconomic factors impacting the labor market. Moreover, there continues to be a tight labor market despite the COVID-19 pandemic having largely subsided. Increases in remote work opportunities have also amplified the competition for employees and contractors. To hire new employees, we may be forced to pay higher wages or offer other benefits that might impact our cost of labor. Furthermore, when we do hire new employees, lengthy training and orientation periods might be required before they are able to achieve necessary productivity levels, and we may be unable to successfully transfer our other employees' institutional knowledge and skills to them or fail to execute on internal succession plans. In addition, an increasingly competitive labor market may lead to increased turnover rates within our employee base. Increased employee turnover results in significant time and expense relating to identifying recruiting, hiring, relocating and integrating qualified individuals. High employee turnover of key personnel may further deplete our institutional knowledge base and erode our competitiveness. These or other employee workforce factors could negatively impact our business, financial condition or results of operations.
Assistant: