PROMPT ENGINEERING - CASE STUDIES AND ERRORS by MARCUS PINTO
English | October 19, 2024 | ISBN: N/A | ASIN: B0DKCPX7C6 | 95 pages | EPUB | 1.17 Mb
In the ever-changing landscape of Artificial Intelligence, where every advancement can redefine the way we live and work, mastering the techniques of interacting with AI systems is more crucial than ever.
Prompt Engineering - Volume 5: Case Studies and Mistakes, part of the acclaimed collection Artificial Intelligence: The Power of Data, published on Amazon, offers a practical and rich approach to real-world examples on formulating effective prompts and the most common mistakes to avoid.
This volume is not just a technical guide; is a journey through successes and failures that reveal how AI can be shaped strategically and efficiently, helping professionals in different fields to get the most out of their interactions with these technologies.
Through a series of in-depth case studies drawn from a variety of industries-from healthcare apps and education platforms to e-commerce services and financial management-you'll see in practice how small adjustments to the way you ask questions can lead to drastically different outcomes.
With concrete examples and detailed analysis, this book will guide you through an in-depth understanding of prompt building that not only optimizes AI responses but also enhances the value of data-driven decisions.
Written in an accessible yet rigorous style, Prompt Engineering - Volume 5 is ideal for both those just starting out in the field of AI and experienced professionals seeking new perspectives and refined practices.
What you'll find here goes far beyond theory: it's practical lessons that can be applied immediately in the development and operation of AI solutions.
Key Topics Covered:
- Fundamentals of prompt construction and its importance for accurate results
- The clarity of requests and how to avoid ambiguity in AI interactions
- Feedback loops and continuous improvement: How to improve your interactions with AI over time
- Detailed case studies from different industries such as healthcare, e-commerce, education, and wellness
- The most common mistakes when formulating prompts and how to avoid them
- Best practices for ensuring effectiveness and ethics in building AI prompts
Results You Will Get:
- Ability to construct clear and effective prompts to get the best out of interactions with AI systems
- Working knowledge on how to avoid the most common errors and increase the accuracy of AI responses
- Detailed insights from real cases applicable in different industries, providing a strategic advantage in any work environment
- Increased ability to create feedback loops for continuous learning of AI models
- A deep understanding of how data is the basis of information and the critical role of AI in turning that information into knowledge
Target audience:
- Technology professionals and developers working with AI and language models
- Data scientists and software engineers who want to hone their AI interaction skills
- Innovation managers and leaders looking to embed AI solutions into their companies strategically and effectively
- Students and academics in fields related to data science, machine learning, and artificial intelligence
- Tech enthusiasts who want to delve deeper into the workings and applications of AI
About the author.
Prof. Marcão, with extensive experience in information technology and marketing, works as a business consultant, career mentor and content producer. Author of more than 100 books, he uses innovative methodologies for efficient projects, contributing to information architecture.
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