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Prompt Engineering Handbook
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Book Synopsis The Prompt Engineer's Handbook by : Alex Stirling
Download or read book The Prompt Engineer's Handbook written by Alex Stirling and published by Mental Health Publishing. This book was released on 2024-01-10 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to unleash the power of prompt engineering and embark on a thrilling 'midjourney' towards unlocking unlimited wealth? Look no further than The Prompt Engineer's Handbook: Unlocking Wealth through Words and Images! In this groundbreaking guide, acclaimed author and chatpgt expert, Alex Stirling, takes you on an exhilarating ride through the world of prompt engineering. Alex also reveals the secrets behind crafting compelling words and captivating images that will leave your audience spellbound, and providing a myriad of contexts where these words and images can be used to generate an income. Whether you're a seasoned entrepreneur looking to take your business to new heights or a student/mom/dad who is looking for a side hustle, this handbook is your ultimate tool. Discover innovative techniques for capturing attention, sparking curiosity, and driving action through carefully designed prompts, that ultimately generate money. Prepare yourself for a transformational experience as you uncover the hidden potential within you. Get ready to rewrite your story and unlock boundless wealth with The Prompt Engineer's Handbook. Your journey starts now!
Book Synopsis The Prompt Engineer's Handbook: Effective Prompts for Optimal Results by : Alexander Schmidt
Download or read book The Prompt Engineer's Handbook: Effective Prompts for Optimal Results written by Alexander Schmidt and published by epubli. This book was released on 2024-05-24 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Art of Prompt Engineering: Discover the transformative potential of AI systems. Artificial Intelligence is revolutionising the way we communicate and work. To fully harness the capabilities of AI systems like ChatGPT or Claude one must master the art of formulating precise and creative prompts. Prompt Engineering is essential for obtaining customised, high-quality results from AI. In this book, Alexander Schmidt, an experienced lecturer and expert in analytics and AI-powered communication, guides you through the world of Prompt Engineering step-by-step. Learn the basics, create effective Basic Prompts, and master advanced techniques such as Mega Prompts. Explore how to adapt prompts to various use cases, navigate common pitfalls, and maximise the use of language models like GPT-4. Packed with practical examples, reflective questions, and checklists, this book equips you to sharpen your Prompt Engineering skills in a focused manner. Whether in marketing, data analysis, or customer service, after reading this book, you will be well-prepared to effectively deploy AI systems in your daily work, boosting your productivity and creativity to new heights. Dive into the fascinating world of Prompt Engineering and unlock the vast opportunities that Artificial Intelligence offers for enhancing communication and collaboration. With this guide, you possess the essential tools to precisely control AI systems and achieve impressive results.
Book Synopsis Bard Ai Prompt Engineering Handbook by : Dwayne Anderson
Download or read book Bard Ai Prompt Engineering Handbook written by Dwayne Anderson and published by Estalontech. This book was released on 2023-11-17 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a journey of financial empowerment with 'BardAi Prompt Ideas for Money Making. This innovative guide transcends conventional boundaries, offering not just prompts but gateways to diverse avenues of wealth creation. The guide seamlessly incorporates the latest AI technology by utilizing BardAi's dynamic capabilities to enhance the user experience and provide unparalleled inspiration. The Bard Ai 400 Prompt Ideas for Money Making include 400 Bard prompts will be included in additional 4 categories Cryptocurrency Prompt Template Affiliate Marketing Prompt Template Dropshipping Prompts Template Freelancing Prompts Template Inside, you'll discover a treasure trove of 400 thought-provoking prompts meticulously curated for those seeking financial success. Delve into the world of Cryptocurrency with 75 prompts, navigating the ever-evolving market and unlocking investment strategies. Transition seamlessly into the Freelancing realm, where 75 prompts unveil the secrets to crafting a thriving career on your terms. Venture further with 75 Affiliate Marketing prompts, demystifying the art of turning online influence into a lucrative income stream. Lastly, explore the vast landscape of Dropshipping, armed with 75 prompts that guide you through setting up shop, selecting winning products, and navigating the intricacies of this dynamic business model. Unlike traditional guides, 'BardAi 400 Prompt Ideas for Money Making' doesn't just provide answers; it sparks curiosity, fuels creativity, and invites you to forge your path to financial independence. Engage with BardAi, not merely as a tool but as a companion in your journey toward financial prosperity. Each prompt is a doorway to possibilities, beckoning you to explore, adapt, and transform ideas into tangible success. Prepare to unlock your entrepreneurial spirit, as BardAi becomes your ally in deciphering the language of wealth creation. This isn't just a book; it's your ticket to a world where ideas translate into action, and financial dreams materialize. Embrace the prompts, embrace the journey, and let the pages of 'BardAi Prompt Ideas for Money Making' be the catalyst for your financial breakthrough."
Book Synopsis LLM Engineer's Handbook by : Paul Iusztin
Download or read book LLM Engineer's Handbook written by Paul Iusztin and published by Packt Publishing Ltd. This book was released on 2024-10-22 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios
Book Synopsis The Machine Learning Solutions Architect Handbook by : David Ping
Download or read book The Machine Learning Solutions Architect Handbook written by David Ping and published by Packt Publishing Ltd. This book was released on 2024-04-15 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBook Key Features Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions Understand the generative AI lifecycle, its core technologies, and implementation risks Book DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learn Apply ML methodologies to solve business problems across industries Design a practical enterprise ML platform architecture Gain an understanding of AI risk management frameworks and techniques Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using artificial intelligence services and custom models Dive into generative AI with use cases, architecture patterns, and RAG Who this book is for This book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.
Book Synopsis Prompt Engineering Handbook by : Eslam Wahba
Download or read book Prompt Engineering Handbook written by Eslam Wahba and published by Independently Published. This book was released on 2024-07-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book Title: Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application Unlock the full potential of AI-driven interactions with the definitive guide to prompt engineering. "Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application" provides an authoritative and comprehensive exploration of the principles, techniques, and best practices essential for mastering prompt engineering in natural language processing (NLP) and artificial intelligence (AI). About the Book: Dive deep into the science of prompt engineering, starting with foundational concepts and progressing to advanced methodologies and practical applications. This handbook is meticulously structured into 35 chapters, each offering in-depth coverage of critical topics including designing effective prompts, evaluating and validating prompts, leveraging advanced customization techniques, and addressing ethical considerations in AI. **Key Features: ** 1. **Foundational Knowledge: ** - Understand the basics of prompt engineering and its significance in AI. - Learn about various types of prompts and their specific applications across different domains. 2. **Advanced Techniques: ** - Explore advanced prompt engineering methodologies such as prompt chaining, tuning, and utilizing auxiliary data. - Integrate cutting-edge technologies like quantum computing, federated learning, and edge AI to enhance AI performance. 3. **Ethical and Responsible AI: ** - Address ethical considerations, including bias mitigation, privacy protection, inclusivity, and transparency. - Implement strategies to ensure AI systems operate fairly and responsibly. 4. **Practical Applications: ** - Gain insights from detailed case studies that showcase real-world implementations of prompt engineering. - Learn how to build robust and scalable prompt-based models for healthcare, financial services, education, and more. 5. **Community Building and Collaboration: ** - Discover strategies for building and nurturing a community around prompt engineering. - Encourage knowledge sharing and collaboration to drive innovation and support the growth of the field. 6. **Comprehensive Resources: ** - Utilize appendices that include a glossary of key terms, sample prompts and use cases, essential tools and resources, and ethical guidelines and frameworks. Who Should Read This Book: - AI practitioners and researchers looking to deepen their expertise in prompt engineering. - Data scientists and machine learning engineers seeking to enhance their AI models. - Developers and NLP enthusiasts aiming to create more effective and interactive AI systems. - Ethicists and policymakers focused on promoting fair and responsible AI practices. Equip yourself with the knowledge and tools needed to excel in the rapidly evolving field of prompt engineering. Whether you are a seasoned AI professional or a newcomer to the field, this handbook provides the insights and practical guidance necessary to advance your skills and achieve success in AI-driven interactions. Purchase your copy of "Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application" today and transform the way you design and implement AI prompts. Prompt engineering, NLP, AI, machine learning, data science, AI ethics, federated learning, quantum computing, AI models, human-AI collaboration, explainable AI, adaptive learning, zero-shot learning, few-shot learning, ethical AI, inclusive AI.
Book Synopsis Handbook of Prompt Gamma Activation Analysis by : G. Molnar
Download or read book Handbook of Prompt Gamma Activation Analysis written by G. Molnar and published by Springer Science & Business Media. This book was released on 2004-12-13 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prompt gamma activation analysis (PGAA) is a unique, non-destructive nuclear analytical method with multi-element capabilities. It is most effective if intense neutron beams (especially cold beams) of nuclear reactors are used to induce the prompt gamma radiation. Based largely on the authors' pioneering research in cold neutron PGAA, the handbook describes the methodology in self-contained manner and reviews recent applications. The library of prompt gamma ray data and spectra for all natural elements is a unique aid to the practitioner. The level is understandable by a broad audience, which facilitates teaching and training. The Handbook of Prompt Gamma Activation Analysis is a comprehensive handbook written for those practising the method, wanting to implement it at a reactor facility, or just looking for a powerful non-destructive method of element analysis. The book is also useful for nuclear physics, chemistry and engineering scientists, scholars and graduate students interested in neutron-induced gamma ray spectroscopy and nuclear analytical methods.
Book Synopsis Prompt Engineering for Generative AI by : James Phoenix
Download or read book Prompt Engineering for Generative AI written by James Phoenix and published by "O'Reilly Media, Inc.". This book was released on 2024-05-16 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code
Book Synopsis Ultimate ChatGPT Handbook for Enterprises by : Dr. Harald Gunia
Download or read book Ultimate ChatGPT Handbook for Enterprises written by Dr. Harald Gunia and published by Orange Education Pvt Ltd. This book was released on 2023-11-20 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empowering the Global Workforce with ChatGPT Expertise. KEY FEATURES ● Comprehensive Guide to GPT Evolution, AI Capabilities, and Prompt Engineering. ● Design Patterns for Enterprise Personas, Architectures, and AI Assistants. ● Management of the GPT Solution Development Cycle. DESCRIPTION “Ultimate ChatGPT Handbook for Enterprises” is your indispensable resource for navigating the transformative world of ChatGPT within the enterprise domain. It provides a deep dive into ChatGPT's evolution, capabilities, and its potential to democratize technology interactions through natural language. Throughout its chapters, you'll embark on a journey that spans from comprehending the lineage of GPT models to mastering advanced prompt engineering techniques. It will help you take a step into a futuristic enterprise landscape where ChatGPT seamlessly collaborates with human intelligence, fundamentally transforming daily work routines across various enterprise roles. The latter chapters will help you attain proficiency in managing GPT projects, discovering the agile and iterative approach to GPT solution life cycles using real-world scenarios. You will also be introduced to practical GPT implementation frameworks for both Python and Java. This book offers practical insights and applicable skills, fostering informed dialogue and active participation in the ongoing enterprise AI revolution. If you want to stay at the forefront of the rapidly evolving AI landscape and unlock enterprise excellence through ChatGPT, this book is your go-to companion. WHAT WILL YOU LEARN ● Discover strategies to maximize ChatGPT's capabilities, fostering innovation and process optimization across global industry sectors. ● Develop proficiency in crafting effective prompts using Prompt Engineering for seamless AI interactions, enhancing ChatGPT's utility in enterprise contexts. ● Acquire the expertise to design intelligent assistants that elevate enterprise operations, promoting efficiency and innovation. ● Gain practical skills to implement ChatGPT solutions using Python and Java, enabling seamless integration with your enterprise systems. ● Learn effective project management from initiation to validation and change management, ensuring successful GPT solution implementation in enterprises. ● Explore how ChatGPT can reshape various roles, boosting productivity and fostering harmonious AI-human collaboration in the workplace. WHO IS THIS BOOK FOR? This book is designed for business professionals, IT specialists, and AI enthusiasts who are eager to delve into the transformative world of ChatGPT and its applications in the enterprise landscape. A foundational understanding of AI concepts and familiarity with enterprise dynamics will be beneficial, but not mandatory, as the book is structured to guide readers from basic concepts to advanced implementations, catering to both novices and experts alike. TABLE OF CONTENTS 1. From GPT-1 to ChatGPT-4: The Evolution Towards Generative AI 2. CapabilityGPT An Enterprise AI-Capability Framework for ChatGPT 3. The Impact of ChatGPT on the Enterprise 4. Architecture Patterns enabled by GPT-Models 5. Advanced GPT Prompt Engineering Techniques 6. Designing Prompt-based Intelligent Assistants 7. Mastery of GPT-Projects 8. LangChain: GPT Implementation Framework for Python 9. predictive-powers: GPT Implementation Framework for Java APPENDIX A: APPENDIX B:
Book Synopsis The Deep Learning Architect's Handbook by : Ee Kin Chin
Download or read book The Deep Learning Architect's Handbook written by Ee Kin Chin and published by Packt Publishing Ltd. This book was released on 2023-12-29 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.
Book Synopsis Profiting Through Effective Prompt Engineering by : Dwayne Anderson
Download or read book Profiting Through Effective Prompt Engineering written by Dwayne Anderson and published by Estalontech. This book was released on 2023-09-13 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-changing realm of AI, communication is the key to unparalleled success. Mastering ChatGPT Prompt Engineering will transform AI interactions and increase your earning potential. But here's the catch – it's not just about using the instrument; it's about wielding it with precision, strategy, and finesse. Maximize Your Success with Professional Advice! Develop your engineering expertise and unlock ChatGPT's maximum potential to ensure your success. This comprehensive guide reveals a tried-and-true road map packed with strategies. The introduction to " CHATGPT Prompt Engineering Mastery Playbook ( Series 4 ) : Profiting Through Effective Prompt Engineering This comprehensive guide will help you improve your AI interactions and revenue streams. Become a genuine expert in this field and learn the tools necessary to replicate success. What to Expect Inside: Discover the true nature of ChatGPT prompt engineering and its vital role in molding the future. Examine the monumental advantages of mastering ChatGPT prompt technology Discover how to transform your ChatGPT expertise into a lucrative endeavor with countless opportunities and enhanced such with the inclusion of a bonus chapter which elaborate on new upgrade of chatgpt Plus and it provide insight into the 19 ways to make money with ChatGPT Unlock the Secrets, Improve Your Skills, and Increase Your Income! This is the definitive guide to profitably leveraging ChatGPT prompt engineering! Who Should Read This Manual? If you identify with any of the following, this guide is a game-changer for you: Your objective is to comprehend the substance of ChatGPT prompt engineering. You wish to comprehend the advantages of mastering ChatGPT prompt crafting. You desire to effectively monetize your ChatGPT prompt-creating abilities. You wish to remain at the forefront of AI and maintain a steady revenue stream. Considering the wealth of information and prospective profits, this guide may seem expensive. Today, however, you can gain access to all this valuable information and transform your future!
Book Synopsis Generative AI for Cloud Solutions by : Paul Singh
Download or read book Generative AI for Cloud Solutions written by Paul Singh and published by Packt Publishing Ltd. This book was released on 2024-04-22 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
Book Synopsis Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media by : Keikhosrokiani, Pantea
Download or read book Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2022-02-18 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opinion mining and text analytics are used widely across numerous disciplines and fields in today’s society to provide insight into people’s thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.
Book Synopsis Azure OpenAI Service for Cloud Native Applications by : Adrián González Sánchez
Download or read book Azure OpenAI Service for Cloud Native Applications written by Adrián González Sánchez and published by "O'Reilly Media, Inc.". This book was released on 2024-06-27 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies
Book Synopsis Generative AI for Effective Software Development by : Anh Nguyen-Duc
Download or read book Generative AI for Effective Software Development written by Anh Nguyen-Duc and published by Springer Nature. This book was released on with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Data Science Handbook by : Field Cady
Download or read book The Data Science Handbook written by Field Cady and published by John Wiley & Sons. This book was released on 2024-10-31 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, and programming paradigms). A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of theory. A solid conceptual foundation is required for fitting the right model to a business problem, understanding a tool’s limitations, and reasoning about discoveries. Data science is a quickly evolving field, and this 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. Much of data science has become a skillset that anybody can have, making this book not only for aspiring data scientists, but also for professionals in other fields who want to use analytics as a force multiplier in their organization.
Book Synopsis Biological Risk Engineering Handbook by : Martha J. Boss
Download or read book Biological Risk Engineering Handbook written by Martha J. Boss and published by CRC Press. This book was released on 2016-04-19 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook discusses biological risk engineering, an extension of industrial hygiene that involves the assessment, control, and decontamination of indoor biological risks. The book synergizes the knowledge of experts in various fields, from law to toxicology, to provide a compendium of information for applying science to limit biological risk.
