Author: Jon Adams
Publisher: Green Mountain Computing
ISBN:
Category : Computers
Languages : en
Pages : 167
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Book Description
Unlock the secrets of effective communication with AI through "AI Foundations of Prompt Engineering," a comprehensive guide that delves into the nuanced art of prompt engineering. Authored with the intent to demystify the process of crafting prompts that elicit desired responses from AI, this book serves as both an introduction for newcomers and a deep dive for seasoned professionals in the field of artificial intelligence. Book Contents: Chapter 1: Defining Prompt Engineering - Introduction to the concept and importance of prompt engineering in AI interactions. Chapter 2: Elements of a Good Prompt - Exploration of the critical components that constitute an effective prompt. Chapter 3: Word Choice in Prompts - Insights into the significance of choosing the right words for clarity and impact. Chapter 4: Crafting Questions for AI - Guidelines for formulating questions that AI can understand and respond to accurately. Chapter 5: Sentence Structure in AI Prompts - Examination of how sentence structure affects AI's comprehension and responses. Chapter 6: Avoiding Ambiguity - Strategies for creating clear and unambiguous prompts to ensure precise AI responses. Chapter 7: Contextual Considerations - Discussion on the role of context in enhancing the effectiveness of prompts. Chapter 8: Testing and Iterating Prompts - Methods for testing prompts and refining them based on feedback. Chapter 9: Advanced Prompt Engineering - Advanced techniques and considerations for expert-level prompt engineering. Why This Book? Practical Approach: Unlike purely theoretical texts, this book offers concrete guidance, practical examples, and exercises for real-world application. Comprehensive Coverage: From foundational concepts to advanced techniques, this book covers the entire spectrum of prompt engineering. Expert Insights: Benefit from the author's deep understanding of AI dialogue design, informed by the latest research and practices in the field. Whether you're just starting out or seeking to enhance your skills in AI communication, "AI Foundations of Prompt Engineering" is an essential resource that will equip you with the knowledge and tools to master the art of prompt engineering. Embark on this educational journey and unlock the potential of AI through expertly crafted prompts.
Author: Carlos Rodriguez
Publisher: Packt Publishing Ltd
ISBN: 1835464912
Category : Computers
Languages : en
Pages : 190
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Book Description
Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.What you will learn Discover the fundamentals of GenAI and its foundations in NLP Dissect foundational generative architectures including GANs, transformers, and diffusion models Find out how to fine-tune LLMs for specific NLP tasks Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs Who this book is for This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.
Author: Gitte Snoeren
Publisher: Van Haren
ISBN: 9401812403
Category : Business & Economics
Languages : en
Pages : 233
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Book Description
This exam preparation booklet is a comprehensive guide designed to help you earn your certification for the NL AIC AI Fundamentals (AI Brevet) and AI Basis. It can also be used for exams based on the EXIN BCS Artificial Intelligence Essentials and/or Foundation. For those focusing on the Artificial Intelligence Essentials, sections 1.1 and 2.1 are relevant, while all sections apply to the Artificial Intelligence Foundation. All the knowledge areas described in the preparation guide will be covered with exam-like questions. The number of questions per topic can differ, depending on the weights used in the formal exam requirements. The booklet is structured into two main sections: The first part features questions without answers, allowing you to test your knowledge and identify areas for improvement. The second part provides the correct answers along with concise explanations to enhance your understanding. This exam preparation booklet will help prepare you for various acknowledges AI certification exams and provides you with sertanty going in to the exam session.
Author: Pajonas Steph
Publisher: Future Fiction Press LLC
ISBN: 1966024002
Category : Language Arts & Disciplines
Languages : en
Pages : 111
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Book Description
Step into the future of storytelling with AI Basics for Fiction Authors, the ultimate guide to integrating artificial intelligence into your writing process. Whether you're a seasoned author or just starting out, this book provides the knowledge and tools you need to enhance your creativity, streamline your workflow, and produce high-quality content with ease. Inside, you'll discover: • Comprehensive AI Insights: Learn the essentials of large language models, prompt engineering, and context windows to unlock new creative possibilities. • Customized AI Strategies: Find personalized AI tool plans tailored to your writing style, whether you're a meticulous plotter or an adventurous pantser. • Effective Applications: Master the art of writing blurbs, social media posts, and crafting immersive worlds and characters with AI's assistance. • Navigating Ethical Terrain: Understand the ethical considerations and content policies that guide responsible AI use, ensuring your work remains authentic and respectful. • Exploring Unfiltered Models: Access open-source models for generating NSFW content, providing the flexibility to tackle mature themes without limitations. AI Basics for Fiction Authors is your gateway to a new era of writing, offering practical advice, expert tips, and real-world examples to help you integrate AI seamlessly into your creative process. Embrace the transformative power of AI and take your fiction writing to new heights with this indispensable guide.
Author: Aaron Guilmette
Publisher: Packt Publishing Ltd
ISBN: 1835885675
Category : Computers
Languages : en
Pages : 288
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Book Description
Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts Key Features Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI Explore AI use cases, such as image identification, chatbots, and more Work through 145 practice questions under chapter-end self-assessments and mock exams Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips Book Description The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You'll explore Microsoft's responsible AI principles like safety and accountability. Then, you'll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you'll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you'll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, you'll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources. What you will learn Discover various types of artificial intelligence (AI)workloads and services in Azure Cover Microsoft's guiding principles for responsible AI development and use Understand the fundamental principles of how AI and machine learning work Explore how AI models can recognize content in images and documents Gain insights into the features and use cases for natural language processing Explore the capabilities of generative AI services Who this book is for Whether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.
Author: Fabienne Mouris
Publisher: Van Haren
ISBN: 9401810869
Category : Architecture
Languages : en
Pages : 105
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Book Description
The course is mainly practical (applying generative AI/prompt-engineering), in action activities where you make prompts and learn best practices on Text Generative AI, while doing. Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Understanding of the architecture behind the model Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI Individuals who need a basic understanding Text Generative AI Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with it Business Analyst. The course is mainly practical, with interactive activities where you make prompts and learn by doing. You will also get feedback and guidance from experienced instructors and peers. By the end of the course, you will be able to: Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.
Author: B. Mairéad Pratschke
Publisher: Springer Nature
ISBN: 3031679911
Category :
Languages : en
Pages : 126
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Book Description
Author: Andrea Marchiotto
Publisher: BPB Publications
ISBN: 936589154X
Category : Computers
Languages : en
Pages : 438
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Book Description
DESCRIPTION Adopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration. Through real-world examples, expert insights, and case studies, the author shares his experience in product management, e-commerce, and digital platforms, presenting strategies for embracing AI and overcoming implementation challenges. Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models. By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business. KEY FEATURES ● Introduction to AI concepts, types of AI, and real-world examples. ● Overview of popular frameworks, strengths and weaknesses, and selection criteria. ● Use cases of generative AI for innovation across diverse industries. WHAT YOU WILL LEARN ● Grasp how AI is revolutionizing business operations and driving innovation. ● Understand AI adoption frameworks and learn how to choose the right one for your organization. ● Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection. ● Discover the role of AI in Web 3.0 and its intersection with blockchain. ● Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes. WHO THIS BOOK IS FOR This book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models. TABLE OF CONTENTS 1. The Power of AI in Modern Businesses 2. AI Adoption Frameworks for Business Leaders and Entrepreneurs 3. AI Adoption Frameworks for Developers 4. Building an AI-ready Culture 5. Practical Applications of Generative AI and Large Language Models 6. AI in Emerging Technologies 7. Latest Developments and Breakthroughs in Artificial Intelligence
Author: Chris Fregly
Publisher: "O'Reilly Media, Inc."
ISBN: 1098159195
Category : Computers
Languages : en
Pages : 312
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Book Description
Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock
Author: Jayant Deshmukh
Publisher: Jayant Deshmukh
ISBN:
Category : Computers
Languages : en
Pages : 119
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Book Description
Unlock your potential with AI and transform every aspect of your personal and professional life using this practical, step-by-step guide to prompt engineering mastery! As AI reshapes our world, it’s amazing to realize that up to 40% of daily work activities could soon be automated. There’s never been a better time to explore how AI can elevate your life, streamline your work, and open doors you may never have thought possible. In this book, you’ll discover everything you need to know to work effectively with tools like ChatGPT, Microsoft copilot, Meta AI, Claude & Google gemini, tailoring them to simplify your day-to-day tasks and boost your productivity. From generating ideas and crafting engaging content to automating customer support and personalizing AI responses for unique goals, this guide covers it all with clear, real-world examples. The AI revolution isn’t just near—it’s here. Now is the time to seize this opportunity and embrace what the future holds. This book will empower you to reach new heights, create meaningful solutions, and stay ahead in both your personal growth and business endeavors. Dive into this transformative guide and discover: Start as a beginner and become proficient in using AI tools like ChatGPT, Microsoft copilot, Meta AI, Claude & Google gemini to elevate every aspect of your work and life. Understand the basics of prompt engineering, its significance, and its role in maximizing AI’s potential. Discover the technology behind popular AI tools, the key concepts that power generative AI, and real-world examples of its applications. Learn the structure, types, and best practices for crafting clear and effective prompts. See how various AI platforms interpret prompts and learn strategies for optimizing prompts for specific tools. Dive into methods like chaining, iterative refinement, and using constraints to guide AI behavior. Address bias, inclusivity, and ethical considerations to use AI responsibly. Discover practical applications across industries and explore lessons from successful prompt engineering projects. A curated list of 100 versatile prompts, with tips on how to adapt them for brainstorming, problem-solving, and more. Explore emerging trends, future technologies, and the evolving role of prompt engineering in AI. And much more! With accessible language, practical insights and real-world scenarios, this book equips readers with the skills and knowledge needed to navigate the exciting world of AI. Each chapter includes examples and practical prompts, making it easy for readers to put what they’ve learned into practice immediately. From students and entrepreneurs to professionals and creative minds, anyone looking to embrace AI will find value in this guide. With rapid advancements in AI, the possibilities are endless. This guide is your roadmap to embracing AI confidently, transforming your approach to work, and reaching new personal and professional heights. Make AI work for you—start your journey with Prompt Engineering - The Ultimate Guide for Success in Artificial Intelligence and unleash the power of Artificial Intelligence !
