The Future Of Cloud Integrating Ai Ml And Generative Ai For Scalable Solutions
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The Future Of Cloud Integrating Ai Ml And Generative Ai For Scalable Solutions
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Author : Chandrakanth Rao Madhavaram
language : en
Publisher: JEC PUBLICATION
Release Date :
The Future Of Cloud Integrating Ai Ml And Generative Ai For Scalable Solutions written by Chandrakanth Rao Madhavaram and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future
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Author : PHANISH LAKKARASU
language : en
Publisher: Global Pen Press UK PUBLICATION
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Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future written by PHANISH LAKKARASU and has been published by Global Pen Press UK PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.
Building Smarter Data Systems Leveraging Generative Ai And Deep Learning
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Author : Arun Kumar Ramachandran Sumangala Devi
language : en
Publisher: JEC PUBLICATION
Release Date :
Building Smarter Data Systems Leveraging Generative Ai And Deep Learning written by Arun Kumar Ramachandran Sumangala Devi and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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100 Best Generative Ai Tools
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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date :
100 Best Generative Ai Tools written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In the era of groundbreaking technological advancements, the book "100 Best Generative AI Tools" is your passport to an exhilarating expedition through the realms of creativity, imagination, and innovation. This captivating guide unveils a curated selection of the most remarkable and transformative generative AI tools that are reshaping the landscape of human ingenuity across a multitude of industries. Unlocking the Power of Generative AI: Imagine a world where machines possess the remarkable ability to generate art, music, literature, and even entire virtual realities. In "100 Best Generative AI Tools," you'll venture into this awe-inspiring realm, where algorithms fuse with creativity to produce captivating and unprecedented results. Whether you're an artist, a musician, a writer, or an innovator, this book empowers you to harness the potential of generative AI to amplify your creative endeavors. A Treasury of Creative Possibilities: This book serves as a treasure trove of innovative generative AI tools, meticulously curated to offer a diverse and comprehensive range of applications. From producing mesmerizing visual masterpieces to composing evocative musical compositions, and from crafting compelling narratives to designing immersive virtual landscapes—each tool is a gateway to limitless creative possibilities. Behind the Algorithmic Curtain: Delve deeper into the intricate workings of these generative AI tools as you unravel the science behind the algorithms. "100 Best Generative AI Tools" deciphers complex concepts into accessible insights, making it a captivating read for both enthusiasts and those new to the field. Explore how neural networks, deep learning, and cutting-edge technology collaborate harmoniously to produce works of art that rival human creativity. Crossing Boundaries and Industries: The impact of generative AI knows no bounds, transcending industries and reshaping the way we perceive creativity. Whether you're a fashion designer pushing the boundaries of design, a game developer crafting immersive digital experiences, or a scientist generating data-driven insights, the tools showcased in this book will spark your imagination and transform your approach to innovation. Empowering Creative Minds: "100 Best Generative AI Tools" goes beyond mere description; it provides you with the tools and knowledge to unleash your creative potential. Whether you're a curious novice or an experienced artist, this book equips you with the resources to embark on a journey of experimentation, discovery, and artistic evolution. Shape the Future of Creativity: As you delve into the pages of "100 Best Generative AI Tools," you become part of a transformative movement that is redefining the boundaries of human creativity. With these tools at your fingertips, you have the power to amplify your artistic voice, challenge traditional norms, and craft a future where the fusion of AI and imagination knows no limits. Join the Creative Revolution: Are you ready to join the ranks of visionaries who are seamlessly blending art, technology, and innovation? "100 Best Generative AI Tools" is your guide to embracing the future, where the canvas of creativity knows no boundaries and the brush strokes of imagination are powered by algorithms. Step into a world where your creative potential knows no limits, and let the journey of innovation begin.
Ultimate Generative Ai Solutions On Google Cloud
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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-12-29
Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.
TAGLINE Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! KEY FEATURES ● Step-by-step guidance for building Generative AI apps on Google Cloud Platform. ● Pro tips for fine-tuning models to achieve optimal performance. ● Industry-specific use cases for practical, hands-on learning. DESCRIPTION Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. WHAT WILL YOU LEARN ● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG. ● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives. ● Master prompt engineering techniques to enhance model performance with GCP tools. ● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run. ● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps. ● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. WHO IS THIS BOOK FOR? This book is tailored for AI practitioners, data scientists, and developers with a foundational knowledge of machine learning and experience using Google Cloud services. Familiarity with Python programming and an interest in generative AI applications will enrich your understanding and support practical implementation of the concepts. TABLE OF CONTENTS 1. Generative AI Essentials 2. Google Cloud Basics 3. Getting Started with Large Language Models 4. Prompt Engineering and Contextual Learning 5. Fine-Tuning a Large Language Model 6. Parameter-Efficient Fine-Tuning (PEFT) 7. Reinforcement Learning with Human Feedback 8. Model Optimization 9. LLMOps for Managing and Monitoring AI Projects 10. Harnessing RAG and LangChain 11. Case Studies and Real-World Implementations Index
Generative Ai And Multifactor Productivity In Business
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Author : Adedoyin, Festus Fatai
language : en
Publisher: IGI Global
Release Date : 2024-04-26
Generative Ai And Multifactor Productivity In Business written by Adedoyin, Festus Fatai and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational paradigms, accelerating innovation, and unlocking unprecedented growth opportunities. However, lurking beneath this promise are challenges that demand urgent attention – from tailoring relevance for specific business units to ethical and safe integration practices. The specifics of how OpenAI can amplify labor productivity and enhance decision-making processes remain elusive. Generative AI and Multifactor Productivity in Business offers a guide surrounding the complexities of OpenAI's role in business operations. It contends that understanding OpenAI is not just beneficial; it is essential for organizations seeking to navigate economic uncertainties and unlock high levels of efficiency and growth. The book delves into the effects of OpenAI on business, with a primary objective of illuminating the scholarly and practitioner-based contributions that push the boundaries of OpenAI in business research. This exploration encompasses applications of advanced generative AI tools, language models, and innovative technologies specific to diverse businesses across sectors, scales, and regions. It emphasizes that as AI becomes more seamlessly integrated into business processes, the potential for multifactor productivity to fuel economic growth, new industries, and job opportunities is unparalleled.
Generative Ai With Langchain
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Author : Dr. Priyanka Singh
language : en
Publisher: BPB Publications
Release Date : 2025-04-25
Generative Ai With Langchain written by Dr. Priyanka Singh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
DESCRIPTION AI is redefining how businesses solve problems, automate decisions, and deliver value. LangChain, an emerging framework, streamlines the integration of large language models into real-world applications, making AI more actionable and accessible. Unlock the power of cutting-edge AI with LangChain, a revolutionary Python framework designed to simplify the creation of sophisticated AI applications. This book begins with the foundational knowledge of AI and LangChain, followed by practical tools like Python, neural networks, and cloud platforms such as AWS and Azure. You will explore LangChain’s architecture and gain hands-on experience integrating LangChain with leading cloud platforms. You will discover how to leverage powerful data science tools like Snowflake and Athena for real-world AI projects. You will analyze AI applications in modern operational frameworks, such as DevOps and MLOps, and gain insights into the exciting future trends, ethical AI practices, and real-world deployment strategies that are shaping the evolution of AI and LangChain. By the end of this book, readers will confidently design, develop, and deploy intelligent AI applications using LangChain. You will be equipped to solve real-world problems through scalable, cloud-integrated AI systems with strong coding, deployment, and data-handling skills. WHAT YOU WILL LEARN ● Understand AI fundamentals, LangChain's architecture, ethical AI, and Python setup. ● Master Python basics, control structures, functions, and modules for AI development. ● Explore LangChain's core components, workflow, and practical implementation in AI. ● Apply AI, including LangChain, in DevOps and MLOps for automation and efficiency. ● Explore future AI trends, LangChain's evolving role, and ethical considerations. ● Integrate LangChain with AWS services for scalable AI deployment and management. ● Utilize Snowflake and Athena with LangChain for real-world data-driven AI projects. WHO THIS BOOK IS FOR This book is ideal for software developers, AI enthusiasts, data scientists, DevOps engineers, and tech professionals aiming to gain practical skills in AI implementation using LangChain. Educators and students in computer science will also benefit from its hands-on guidance. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence and LangChain 2. Getting Started with Python 3. Understanding LangChain Basics 4. Neural Network with LangChain 5. LangChain and AWS Integration 6. LangChain and Azure Integration 7. Real-world Data Science with Snowflake and Athena 8. AI in DevOps and MLOps 9. Future Trends in AI and LangChain APPENDIX 1: Additional Resources and References APPENDIX 2: Glossary of Terms
Generative Ai And Implications For Ethics Security And Data Management
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Author : Gomathi Sankar, Jeganathan
language : en
Publisher: IGI Global
Release Date : 2024-08-21
Generative Ai And Implications For Ethics Security And Data Management written by Gomathi Sankar, Jeganathan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Computers categories.
As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.
Generative Ai For Cloud Solutions
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Author : Sireesha Muppala
language : en
Publisher: BPB Publications
Release Date : 2025-03-15
Generative Ai For Cloud Solutions written by Sireesha Muppala and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Computers categories.
DESCRIPTION Generative AI is transforming every industry, with applications ranging from creative content generation, simple chatbots, to entirely new ways of engaging with consumers. But there is as much uncertainty as buzz—understanding how to use this technology securely and responsibly, and recognizing what the pitfalls are. In this book, we will put together a complete picture of generative AI development on modern cloud platforms, covering all stages of building and operating a production-grade solution with consideration for performance, security, governance, and responsibility. Conceptual discussions will be accompanied by functional examples, using working code on Amazon Web Services (AWS) cloud to demonstrate key concepts. We will explore the full lifecycle, from initial model selection and fine-tuning to production deployment, monitoring, and ongoing operation. Key aspects include prompt engineering, data integration techniques, observability, the shared responsibility model, and the full solution lifecycle from design to operation. Additionally, we will discuss recommendations for prioritizing a generative AI roadmap for organizations and emerging trends in the field. As readers progress, they will gain insights into the future trends of AI and witness its transformative impact across various industries through case studies. By the end of the book, the readers will have a solid understanding of the features of foundational models and their collaboration with cloud computing, enabling them to create innovative, efficient, and ethical AI solutions in diverse cloud-based applications. WHAT YOU WILL LEARN ● Basics of cloud computing and evolution of generative AI. ● Complete solution stack for generative AI to address security and performance concerns. ● Prompt engineering for improving performance and security concerns. ● Framework for the responsible use of AI to judge risks and put safeguards in place. ● Advanced fine-tuning smaller models to get effective performance at lower costs. ● Integration with data and tools to expand the power of generative AI and handle complex workflows and access new information. WHO THIS BOOK IS FOR This book is for cloud architects, engineers, data analysts, and AI professionals. Readers should possess foundational cloud and ML knowledge; generative AI expertise is not required. TABLE OF CONTENTS 1. Cloud Computing 2. Evolution of Generative AI 3. Cloud Computing and Generative AI 4. Generative AI Stack 5. Design Components, Model Selection, Evaluation, and Model Playgrounds 6. Prompt Engineering 7. Retrieval Augmented Generation 8. Advanced Model Fine-tuning Techniques 9. Model Hosting and Application Frameworks 10. Agentic Workflows 11. Observability and Monitoring 12. Security and Governance 13. Responsible AI 14. Building and Executing a Generative AI Roadmap 15. Generative AI Future and Trends
The Future Of Medicine Integrating Artificial Intelligence With Human Expertise To Revolutionize Healthcare Systems And Improve Global Health Outcomes
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Author : Venkata Krishna Azith Teja Ganti
language : en
Publisher: CANEDA GLOBAL JOURNAL GROUP
Release Date :
The Future Of Medicine Integrating Artificial Intelligence With Human Expertise To Revolutionize Healthcare Systems And Improve Global Health Outcomes written by Venkata Krishna Azith Teja Ganti and has been published by CANEDA GLOBAL JOURNAL GROUP this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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