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Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 46
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Book Description
Gemini AI is a groundbreaking multimodal model that pushes the boundaries of artificial intelligence. This book delves deep into its architecture, capabilities, and the engineering marvels behind it. From understanding and generating human language to perceiving the world through vision and sound, Gemini showcases the future of AI. Learn about the challenges and solutions in building such a complex system, as well as its potential to revolutionize industries and shape our world.
Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 46
Get Book Here
Book Description
Gemini AI is a groundbreaking multimodal model that pushes the boundaries of artificial intelligence. This book delves deep into its architecture, capabilities, and the engineering marvels behind it. From understanding and generating human language to perceiving the world through vision and sound, Gemini showcases the future of AI. Learn about the challenges and solutions in building such a complex system, as well as its potential to revolutionize industries and shape our world.
Author: Kieran Kavanagh
Publisher: Packt Publishing Ltd
ISBN: 1803247029
Category : Computers
Languages : en
Pages : 552
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Book Description
Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.
Author: Yattish Ramhorry
Publisher: BPB Publications
ISBN: 9355519133
Category : Computers
Languages : en
Pages : 333
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Book Description
DESCRIPTION Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways. KEY FEATURES ● Learn the fundamentals of generative AI and the practical usage of prompt engineering. ● Gain hands-on experience in building generative AI applications. ● Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots. WHAT YOU WILL LEARN ● Understand generative AI (GAI) and large language models (LLMs). ● Explore real-world GAI applications across industries. ● Build intelligent applications with the ChatGPT API. ● Explore retrieval augmented generation with LangChain and Gemini Pro. ● Create chatbots with LangChain and Streamlit for data retrieval. WHO THIS BOOK IS FOR This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains. TABLE OF CONTENTS 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI
Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 49
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Book Description
Gemini's Learning Algorithms: The Science Behind Intelligence offers a captivating exploration of the complex systems that power this groundbreaking language model. From neural networks to reinforcement learning, this book delves into the core technologies that enable Gemini's remarkable abilities. Discover how attention mechanisms, transformers, and generative models work together to create a truly intelligent machine. Gemini, learning algorithms, AI, artificial intelligence, neural networks, deep learning, attention mechanisms, transformers, reinforcement learning, generative models
Author: Saurabh Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 1835084362
Category : Computers
Languages : en
Pages : 579
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Book Description
From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology.
Author: Adrián González Sánchez
Publisher: "O'Reilly Media, Inc."
ISBN: 1098154967
Category : Computers
Languages : en
Pages : 249
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Book Description
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
Author: Juan Pablo Bustos
Publisher: Packt Publishing Ltd
ISBN: 1835887619
Category : Computers
Languages : en
Pages : 219
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Book Description
Unleash the transformative potential of GenAI with this comprehensive guide that serves as an indispensable roadmap for integrating large language models into real-world applications. Gain invaluable insights into identifying compelling use cases, leveraging state-of-the-art models effectively, deploying these models into your applications at scale, and navigating ethical considerations. Key Features Get familiar with the most important tools and concepts used in real scenarios to design GenAI apps Interact with GenAI models to tailor model behavior to minimize hallucinations Get acquainted with a variety of strategies and an easy to follow 4 step frameworks for integrating GenAI into applications Book Description Explore the transformative potential of GenAI in the application development lifecycle. Through concrete examples, you will go through the process of ideation and integration, understanding the tradeoffs and the decision points when integrating GenAI. With recent advances in models like Google Gemini, Anthropic Claude, DALL-E and GPT-4o, this timely resource will help you harness these technologies through proven design patterns. We then delve into the practical applications of GenAI, identifying common use cases and applying design patterns to address real-world challenges. From summarization and metadata extraction to intent classification and question answering, each chapter offers practical examples and blueprints for leveraging GenAI across diverse domains and tasks. You will learn how to fine-tune models for specific applications, progressing from basic prompting to sophisticated strategies such as retrieval augmented generation (RAG) and chain of thought. Additionally, we provide end-to-end guidance on operationalizing models, including data prep, training, deployment, and monitoring. We also focus on responsible and ethical development techniques for transparency, auditing, and governance as crucial design patterns. What you will learn Concepts of GenAI: pre-training, fine-tuning, prompt engineering, and RAG Framework for integrating AI: entry points, prompt pre-processing, inference, post-processing, and presentation Patterns for batch and real-time integration Code samples for metadata extraction, summarization, intent classification, question-answering with RAG, and more Ethical use: bias mitigation, data privacy, and monitoring Deployment and hosting options for GenAI models Who this book is for This book is not an introduction to AI/ML or Python. It offers practical guides for designing, building, and deploying GenAI applications in production. While all readers are welcome, those who benefit most include: Developer engineers with foundational tech knowledge Software architects seeking best practices and design patterns Professionals using ML for data science, research, etc., who want a deeper understanding of Generative AI Technical product managers with a software development background This concise focus ensures practical, actionable insights for experienced professionals
Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 73
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Book Description
A Guide to Gemini Ultra Unleash the potential of groundbreaking research and ignite your creative spark with Gemini Ultra, the next generation AI model. This comprehensive guide dives deep into Gemini Ultra's functionalities, exploring its capabilities in data analysis, complex reasoning, creative writing, code generation, and more. Go beyond basic data summaries and unlock hidden insights with Gemini Ultra's advanced analytical tools. Craft compelling research papers, reports, and grant proposals with the help of its natural language generation and tailored communication features. Struggling with writer's block or lacking a fresh design concept? Gemini Ultra serves as your creative muse, brainstorming new ideas, generating content variations, and even composing musical pieces. If you're a coder, say goodbye to syntax errors and tedious debugging sessions. Gemini Ultra translates natural language into code, suggests code completions, and offers refactoring recommendations, streamlining your development process. But Gemini Ultra isn't just about efficiency; it fosters a future of responsible AI. Learn about the model's built-in explainability features, ensuring transparency and trust in its outputs. This guide equips you with the knowledge to get started with Gemini Ultra, including access methods, user interface navigation, and practical tips for maximizing your experience. Partner with Gemini Ultra and unlock a world of possibilities in research, creativity, and innovation. Get started today and see what the future of AI holds!
Author: Anderson Soares Furtado Oliveira
Publisher: Packt Publishing Ltd
ISBN: 1835886310
Category : Computers
Languages : en
Pages : 458
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Book Description
From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.
Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 61
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Book Description
The Beginner's Guide to Gemini AI: Mastering the Latest AI Assistant and Unlocking a World of Possibilities Feeling overwhelmed by information overload? Struggling to stay productive in today's fast-paced world? Wishing you had a tireless assistant who could answer your questions, complete your tasks, and even spark creative ideas? Look no further than Gemini AI! This comprehensive guide, The Beginner's Guide to Gemini AI, is your one-stop shop for understanding and leveraging the power of this revolutionary large language model. Whether you're a student, a professional, or simply someone looking to enhance your daily life, this book will equip you with the knowledge and skills to: Demystify AI Technology: Gain a foundational understanding of artificial intelligence, machine learning, and neural networks – the building blocks of Gemini AI. Unleash Gemini AI's Capabilities: Explore the core functionalities of Gemini AI, including information retrieval, text generation, and communication assistance. Boost Your Productivity: Learn how Gemini AI can streamline workflows, manage tasks, and take notes, freeing up your time for what matters most. Fuel Your Creativity: Discover how Gemini AI can spark new ideas, generate different creative text formats, and overcome writer's block. Navigate the Future of AI: Explore the potential impact of large language models on society and the exciting possibilities of human-AI collaboration. Inside The Beginner's Guide to Gemini AI, you'll discover: Clear and concise explanations that break down complex concepts into easy-to-understand language. Practical examples that showcase how Gemini AI can be applied in real-world scenarios. Step-by-step instructions for interacting with Gemini AI and getting the most out of its functionalities. Thought-provoking discussions on the ethical considerations and future implications of AI technology. The Beginner's Guide to Gemini AI is your passport to a world empowered by AI. By the end of this book, you'll be able to confidently interact with Gemini AI, unlock its full potential, and transform the way you work, learn, and create. Don't wait any longer! Embrace the future of AI with The Beginner's Guide to Gemini AI and unlock a world of possibilities today!
