Example of Financial Data Extraction using a Prompt
A practical application of a large language model is to use a direct instruction, such as 'Extract the main financial figures from the following earnings report,' to parse a given text. For instance, when applied to a report stating 'The company reported a revenue of $10 million in the first quarter with a profit margin of 15%...', the model would identify and return the key data points in a structured format: 'Revenue: $10 million, Profit Margin: 15%'.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Example of Financial Data Extraction using a Prompt
A financial analyst needs to extract the exact figures for Revenue, Net Income, and Earnings Per Share (EPS) from the following text snippet from a corporate report. Which of the following instructions is the most effective and precise for this task?
Text Snippet: "For the third quarter, a period marked by significant market volatility, our company achieved a record revenue of $4.5 billion. After accounting for operational costs and taxes, the net income stood at $750 million. This performance translates to an earnings per share (EPS) of $1.25, exceeding analyst expectations. We also expanded our workforce by 5% during this period."
Troubleshooting a Vague Financial Prompt
Example of a Prompt for Technical Troubleshooting
Crafting a Financial Data Extraction Prompt
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A language model is given the instruction: 'From the following text, extract the Total Revenue, Net Income, and Earnings Per Share (EPS) into a structured list.' Which of the following outputs best represents the model's successful execution of this instruction on the text below?
Text: 'For the third quarter, Innovate Corp. announced a significant 20% year-over-year growth, achieving a total revenue of $500 million. After accounting for operational costs of $350 million and taxes, the company's net income stood at $75 million. This performance translates to an earnings per share (EPS) of $1.50 for our 50 million outstanding shares.'
Refining a Data Extraction Prompt
Crafting a Financial Data Extraction Prompt