Mehrzad Tabatabaian – författare

Comprehensive guide to prompt engineering for ChatGPT, covering foundational principles and advanced techniques. Real-world examples and case studies showcasing the impact of well-crafted prompts This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals. The digital age has ushered in a new era of communication, one where the boundaries between human and machine are becoming increasingly blurred. Artificial Intelligence (AI) technology, in its relentless evolution, has given rise to remarkable language models that can understand and generate human-like text. "Prompt Engineering for ChatGPT," demystifies the intricacies of this ground breaking technology, offering insights and strategies to harness its capabilities.

No detailed description available for "Mastering Applied Engineering Mechanics with ChatGPT".

Master the art of prompt engineering with ChatGPT. Learn to craft effective interactions, utilize advanced techniques, and apply real-world applications to harness the power of GPT-4.

Key Features

Master prompt structures for effective AI interactionsUtilize advanced techniques like plugins and conditional logicApply practical examples to real-world scenarios

Book Description

This book is designed for mastering prompt engineering in artificial intelligence, focusing on ChatGPT, GPT-4, and GPT plug-ins. It explores fundamental principles, practical techniques, and real-world applications. Readers will learn the role of prompts in AI interactions, the anatomy of well-constructed prompts, and various prompt styles. The book also covers setting constraints to guide AI responses and ensure ethical interactions, making it ideal for both beginners and advanced users.The journey begins with the foundations of prompts and crafting contextual prompts. It progresses to asking specific questions, providing constraints, and creating diverse content prompts. Advanced chapters cover debugging, iterating prompts, and using GPT-4 with plug-ins. The book concludes with real-world applications, future trends, and ethical considerations, ensuring a comprehensive understanding of prompt engineering.Understanding these concepts is crucial for effective AI interactions. This book transitions readers from basic to advanced prompt engineering, blending theoretical knowledge with practical skills. It is an essential resource for mastering prompt engineering and building innovative GPT applications.

What you will learn

Understand prompt structureLeverage context in promptsFormulate precise questionsSet effective constraintsGenerate creative contentDebug and iterate prompts

Who this book is for

This book is ideal for AI enthusiasts, students, and professionals looking to understand and apply prompt engineering with ChatGPT. No prior knowledge of AI is required, but a basic understanding of technology and natural language processing will be beneficial.

A comprehensive guide to tensor analysis in engineering, covering transformations, mathematical foundations, and practical applications.

Key Features

Covers foundational and advanced concepts in tensor analysisFocuses on practical engineering applications and problem-solvingIncludes numerous examples and exercises to reinforce learning

Book Description

This book is a comprehensive guide to tensor analysis for engineers and applied scientists, focusing on practical problem-solving in Euclidean space. It covers Cartesian coordinate systems and curvilinear coordinates like cylindrical and spherical, with examples and calculations. Expanded content includes rigid body rotation, Cartesian tensors, Euler angles, and quaternion methods.The course begins with coordinate systems, moving through curvilinear systems, basis vectors, and scale factors. It covers contravariant and physical components, tensor transformations, and mixed and metric tensors. Advanced topics include gradient operators, derivative forms, Cartesian tensor transformations, and coordinate-independent equations. The book features relations for selected coordinate systems, rigid body rotation methods, and numerous worked-out examples and exercises.Mastering tensor analysis is crucial for complex engineering and science problems. This book transitions from basic concepts to advanced applications, blending theory with practical examples. Clear explanations, figures, and exercises enhance learning, making this an essential resource for tensor analysis in Euclidean space.

What you will learn

Understand index notation and the Einstein summation conventionLearn to define and transform coordinate systemsCalculate dot and cross products of tensorsApply metric tensor operationsCompute covariant and contravariant derivativesSolve practical engineering problems using tensor analysis

Who this book is for

Ideal for engineering students, professionals, and researchers who want to understand and apply tensor analysis in their work. Readers should have a basic understanding of linear algebra and calculus. No prior knowledge of tensor analysis is required.