Crafting a Financial Data Extraction Prompt
You are an analyst tasked with using a language model to quickly summarize key metrics from corporate press releases. Read the text below and write a single, clear instruction (a prompt) that would direct a language model to extract only the quarterly revenue and the net profit figures.
Text: 'In its Q2 earnings call, TechSolutions Inc. reported a strong performance, with quarterly revenue reaching an impressive $45.2 million, a 12% increase from the previous year. The company's net profit for the quarter was $8.5 million. Additionally, operating expenses were kept at $20 million, and the company announced a new partnership with a major cloud provider.'
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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
Creation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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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