Prompt Engineering for Accounting and Finance
Sunil Kumar (),
Atreya ‘Chuck’ Chakraborty () and
Poojan Patel ()
Additional contact information
Sunil Kumar: Roger Williams University
Atreya ‘Chuck’ Chakraborty: University of Massachusetts System
Poojan Patel: Bryant University
in Springer Books from Springer
Date: 2026
ISBN: 978-3-032-11195-1
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Chapters in this book:
- Ch 1 Introduction to AI in Accounting and Finance
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 2 Accounting and Finance Essentials: Foundations for Effective Prompt Engineering
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 3 Fundamentals of Prompt Engineering
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 4 Foundations of Prompting: Input Strategies
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 5 Enhancing AI Reasoning: Cognitive Techniques
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 6 Knowledge-driven Prompting: Integrating Context for Better Responses
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 7 Task-oriented Prompting: Structuring AI Workflows
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 8 Adaptive AI: Modifying Model Behavior with Prompts
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 9 Automating and Optimizing Prompts: AI-driven Efficiency
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 10 Multimodal Prompting: Expanding Beyond Text
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 11 Structural Prompting: Organizing Complex Information
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 12 Evaluating AI-generated Solutions
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 13 Ethical and Practical Considerations
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
- Ch 14 The Future of AI in Accounting and Finance
- Sunil Kumar, Atreya ‘Chuck’ Chakraborty and Poojan Patel
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-032-11195-1
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DOI: 10.1007/978-3-032-11195-1
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