What do you think?
Rate this book
PROMPT ENGINEERING: Navigating the Landscape of AI Innovation
Embark on an enlightening journey into the vast landscape of AI innovation with this comprehensive guide. Beginning with the fundamental principles of Natural Language Processing (NLP), you'll explore the complexities of text preprocessing, word embeddings, and the dynamic flow of language in sequence processing. The exploration extends into essential techniques in machine learning, such as text classification, named entity recognition, and part-of-speech tagging, providing a solid foundation for understanding the intricacies of language analysis.
As the chapters unfold, you will immerse in the neural network universe, unraveling the architecture, activation functions, backpropagation, and optimization algorithms. Traverse the cutting edge of NLP with in-depth insights into attention mechanisms, transformers, and their transformative applications. The exploration further extends into generative model architecture, model training, hyperparameter tuning, and the art of prompt engineering. Discover how to craft effective prompts, tailor them to specific domains, and navigate the ethical considerations that accompany prompt engineering. From theoretical foundations to hands-on projects, this book is your holistic guide to mastering prompt engineering, ensuring you're well-equipped for real-world applications and collaborative endeavors.
What is in the book?
Introduction to Prompt Navigating the Landscape of AI Innovation
1 Fundamentals of Natural Language Processing (NLP)
2 Navigating the Neural Network A Deep Dive into Neural Network Architecture, Activation Functions, Backpropagation, and Optimization Algorithms
3 Navigating the Cutting Edge of Natural Language An In-Depth Exploration of Attention Mechanisms, Transformers, and their Transformative Applications
4 Unravelling the Ingenious A Deep Dive into Generative Model Architecture and its Diverse Variations
5 Nurturing the AI A Comprehensive Expedition into Model Training, Hyperparameter Tuning, and Fine-Tuning
6 Sculpting the Dialogue Between Man and A Profound Dive into Prompt Engineering Strategies and Model Behavior Guidance
7 Crafting Contextual A Profound Exploration of Domain Knowledge and its Role in Tailoring Prompts
8 Navigating the Ethical A Deep Dive into Bias Mitigation, Ethical Considerations, and the Responsible Art of Prompt Engineering
9 Unveiling the Quality Quotient - A Profound Expedition into Evaluation, Quality Assurance, and the Mastery of Model Performance Assessment
10 The Canvas of An Expansive Voyage into Creative Applications of Generative Models and the Art of Unleashing Unconventional Prompts
11 Mastery Beyond the A Deep Dive into Advanced Techniques—Reinforcement Learning, Few-Shot Learning, and Adversarial Training
12 Bridging the Gap Between Theory and A Holistic Exploration of Real-World Projects and Collaborative Endeavours in Prompt Engineering
As the chapters unfold, you will immerse in the neural network universe, unraveling the architecture, activation functions, backpropagation, and optimization algorithms. Traverse the cutting edge of NLP with in-depth insights into attention mechanisms, transformers, and their transformative applications. The exploration further extends into generative model architecture, model training, hyperparameter tuning, and the art of prompt engineering. Discover how to craft effective prompts, tailor them to specific domains, and navigate the ethical considerations that accompany prompt engineering. From theoretical foundations to hands-on projects, this book is your holistic guide to mastering prompt engineering, ensuring you're well-equipped for real-world applications and collaborative endeavors.
What is in the book?
Introduction to Prompt Navigating the Landscape of AI Innovation
1 Fundamentals of Natural Language Processing (NLP)
2 Navigating the Neural Network A Deep Dive into Neural Network Architecture, Activation Functions, Backpropagation, and Optimization Algorithms
3 Navigating the Cutting Edge of Natural Language An In-Depth Exploration of Attention Mechanisms, Transformers, and their Transformative Applications
4 Unravelling the Ingenious A Deep Dive into Generative Model Architecture and its Diverse Variations
5 Nurturing the AI A Comprehensive Expedition into Model Training, Hyperparameter Tuning, and Fine-Tuning
6 Sculpting the Dialogue Between Man and A Profound Dive into Prompt Engineering Strategies and Model Behavior Guidance
7 Crafting Contextual A Profound Exploration of Domain Knowledge and its Role in Tailoring Prompts
8 Navigating the Ethical A Deep Dive into Bias Mitigation, Ethical Considerations, and the Responsible Art of Prompt Engineering
9 Unveiling the Quality Quotient - A Profound Expedition into Evaluation, Quality Assurance, and the Mastery of Model Performance Assessment
10 The Canvas of An Expansive Voyage into Creative Applications of Generative Models and the Art of Unleashing Unconventional Prompts
11 Mastery Beyond the A Deep Dive into Advanced Techniques—Reinforcement Learning, Few-Shot Learning, and Adversarial Training
12 Bridging the Gap Between Theory and A Holistic Exploration of Real-World Projects and Collaborative Endeavours in Prompt Engineering
98 pages, Kindle Edition
Published January 19, 2024
1 person is currently reading
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.