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Prompt Engineering: Empowering Communication
Prompt engineering engages as a transformative approach to enhancing interaction, creativity, and innovation. From business and healthcare to education, law, and beyond, prompt engineering is a versatile toolkit for navigating complex challenges and driving meaningful change.
This book delves into the intricacies of prompt engineering, providing insights, techniques, and practical examples for leveraging prompts effectively. It explores the evolution of prompt engineering, from its early antecedents to its contemporary applications with advanced language models like ChatGPT. Readers will discover how prompts can enhance communication, foster creativity, facilitate problem-solving, and empower professionals across diverse domains.
This book is your gateway to unlocking the full potential of prompt engineering. Join the journey of discovery and innovation as the book harnesses the power of prompts to shape a brighter future.
This book delves into the intricacies of prompt engineering, providing insights, techniques, and practical examples for leveraging prompts effectively. It explores the evolution of prompt engineering, from its early antecedents to its contemporary applications with advanced language models like ChatGPT. Readers will discover how prompts can enhance communication, foster creativity, facilitate problem-solving, and empower professionals across diverse domains.
This book is your gateway to unlocking the full potential of prompt engineering. Join the journey of discovery and innovation as the book harnesses the power of prompts to shape a brighter future.
175 pages, Kindle Edition
Published December 2, 2024
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April 7, 2025
When I picked out this book, I thought it was on prompt engineering for LLM and foundational models of Artificial Intelligence. If this was the intention of the book -and I freely admit I may have misunderstood the book's goal- this book is extremely badly organized, confusing, and mostly irrelevant. In this case, most of the chapters and sections should certainly be skipped, although the chapters do include final sections on interesting references which are barely touched on in the chapters' bodies.
A preliminary glance at the table of contents, appears to show that a handful of the twenty chapters may be relevant to the intention I thought the book had. Such headings and/or section sub-headings as the ones quoted below certainly suggest this:
However most of the rest of the chapters' use of prompt engineering appears to refer to questions and activities useful for sparking discussion, creativity, or exploration for humans:
The authors claim, with no explanations or justifications that:
From the point of view of the reader interested in learning about prompt engineering for AI systems, this book appears to be a half-cocked attempt to jump on the current AI bandwagon, since most of the chapters appear to bear little or no relevance to AI prompt engineering. However, some of the references added at the end of each chapter appear, in many cases, to be more relevant than what the rest of the content of most chapters suggest, again suggesting that the references were chosen for the suggestiveness of the titles but were not really understood or even read by the authors.
I understand that this is a harsh review and that I may have misunderstood the goal of this book. If this is so, I hope other readers or reviewers will kindly set me straight.
A preliminary glance at the table of contents, appears to show that a handful of the twenty chapters may be relevant to the intention I thought the book had. Such headings and/or section sub-headings as the ones quoted below certainly suggest this:
3. Prompt Engineering Techniques for ChatGPT;Chapter 3, on Prompt Engineering Techniques for ChatGPT was the most relevant chapter for me, but merely covered briefly and superficially, zero, one and few-shot prompting as well as the self-consistency prompt techniques with an informal definition/explanation and example of each of the four techniques. Chapter 9 Prompts for Developers and Tech Professionals promised what I was most interested in:
9. Prompts for Developers and Tech Professionals
16. Digital Prompts and Technology
16.3 Using Digital Platforms and Tools for Prompts
16.4 Ethical Considerations in Digital Prompting
17. Evaluating and Refining Prompts
17.2 Assessing the Impact of Prompts
17.3 Gathering Feedback for Prompt Improvement
18. Prompts for Data Scientists and Analytics Professionals
18.2 Data Cleaning and Preprocessing
18.3 Exploratory Data Analysis
18.4 Data Visualization
18.5 Feature Selection
18.6 Model Evaluation and Selection
18.7 Natural Language Processing (NLP)
19. Navigating the ChatGPT API Model Spectrum
19.1 What is ChatGPT API?
19.2 Why Use ChatGPT API?
19.3 ChatGPT API Model
19.4 Factors to Consider When C hoosing a ChatGPT API Model
19.5 Selecting the Right ChatGPT API Model
... a comprehensive collection of prompts designed specifically for individuals working in technology and software development. [...]The chapter was supposed to include prompts for:
- CodingUnfortunately the edition of the book I read was missing sections for all these topic. I suppose an editing mistake had inserted a section from a different chapter instead of sections on prompts for each of the above-listed topics!
- System Design: “Prompts focusing on designing scalable and efficient systems, considering factors like performance, reliability, and security”.
- Emerging Technologies: “Prompts that explore emerging technologies, such as artificial intelligence, blockchain, or Internet of Things (IoT), and their potential applications”.
- Debugging and Troubleshooting
- Software Architecture
- Data Structures
- Code Optimization
- Security and Privacy
- Code Review:
- Testing and Quality Assurance
- Version Control
- Continuous Integration and Deployment
- APIs and Web Services
- Mobile Development
- Open Source Contributions
- Machine Learning and Data Analysis
- Cloud Computing
- DevOps
- Accessibility and Usability
- Agile and Scrum
However most of the rest of the chapters' use of prompt engineering appears to refer to questions and activities useful for sparking discussion, creativity, or exploration for humans:
4. Prompts for Creative Thinking;Although the author claims that many of the prompts have been “curated”, it is hard to imagine or to endorse the results. The recommended prompts range, in the main, from the banal to the arbitrary, although they also include some interesting suggestions. As a first example consider the prompt “Write a story on time travel” as a prompt for creativity. Why should such an example be singled out as an effective prompt for writing creatively? As for using it as a prompt for any ChatGPT-like AI system, surely it is far too open-ended and general to be of much use. Take as another case, the author's example prompts for feature selection:
6. Prompts for Meaningful Conversations;
7. Prompts for Business Professionals
7.4 Prompts for Leadership Development
10. Prompts for Healthcare Professionals
10.3 Prompts for Ethical Decision Making
11. Prompts for Educators and Trainers
12. Prompts for Legal Professionals
12.2 Prompts for Persuasive Legal Writing
12.3 Prompts for Effective Oral Arguments
12.4 Prompts for Negotiation and Mediation
13. Prompts for Marketing and Advertising Professionals
13.2 Prompts for Creative Campaign Development
13.3 Prompts for Targeted Messaging
13.4 Prompts for Brand Storytelling
15. Prompts for Public Speakers and Presenters
15.2 Prompts for Engaging Speeches and Keynotes
15.3 Prompts for Overcoming Stage Fright and Nervousness
....a crucial process in machine learning and data analysis, involving the identification and extraction of the most relevant and informative attributes from a dataset. By selecting a subset of features that contribute most significantly to the predictive power of a model while reducing redundancy and noise, feature selection aims to improve model performance, generalization, and interpretability[...]Here is a sample of prompts on the topic of feature selection:
1. Consider the impact of feature redundancy on model performance and computational efficiency.How these prompts may be used for directing ChatGPT is, at the very least, a non-trivial task and it may even be questionable indeed to use (1) or (2), albeit easier to imagine how (4) or even (5) may be used.
2. Evaluate the significance of domain knowledge in identifying relevant features for modeling.
[...]
4. Consider the trade-offs between dimensionality reduction and preserving information in feature selection.
5. Evaluate the impact of irrelevant features on model accuracy and overfitting.
6. Consider the role of feature scaling or normalization in the feature selection process[...]
The authors claim, with no explanations or justifications that:
Here are the best 10 prompts on using digital platforms and tools for prompts:This make me wonder what is meant in this book by “prompts on using digital platforms.1. Explore online writing communities or platforms that offer writing prompts for different genres or themes.
2. Utilize online brainstorming tools or collaborative platforms to generate and share prompt ideas with a team or group.
3. Experiment with interactive storytelling platforms that provide prompts for creating immersive digital narratives.
From the point of view of the reader interested in learning about prompt engineering for AI systems, this book appears to be a half-cocked attempt to jump on the current AI bandwagon, since most of the chapters appear to bear little or no relevance to AI prompt engineering. However, some of the references added at the end of each chapter appear, in many cases, to be more relevant than what the rest of the content of most chapters suggest, again suggesting that the references were chosen for the suggestiveness of the titles but were not really understood or even read by the authors.
I understand that this is a harsh review and that I may have misunderstood the goal of this book. If this is so, I hope other readers or reviewers will kindly set me straight.
Displaying 1 of 1 review