Mastering Generative Ai Theory Techniques And Real World Applications

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Mastering Generative Ai Theory Techniques And Real World Applications

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Author : Dr. Mamatha B
language : en
Publisher: NC Publishers
Release Date : 2025-04-15

Mastering Generative Ai Theory Techniques And Real World Applications written by Dr. Mamatha B and has been published by NC Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.

Mastering Generative AI is a comprehensive textbook covering the theory, techniques, and real-world applications of generative models like GANs and transformers. It blends foundational concepts with practical coding exercises and ethical insights, making it ideal for students, researchers, and professionals in AI, data science, and related fields.

200 Tips For Mastering Generative Ai

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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :

200 Tips For Mastering Generative Ai written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

In the rapidly evolving landscape of artificial intelligence, Generative AI stands out as a transformative force with the potential to revolutionize industries and reshape our understanding of creativity and automation. From its inception, Generative AI has captured the imagination of researchers, developers, and entrepreneurs, offering unprecedented capabilities in generating new data, simulating complex systems, and solving intricate problems that were once considered beyond the reach of machines. This book, "200 Tips for Mastering Generative AI," is a comprehensive guide designed to empower you with the knowledge and practical insights needed to harness the full potential of Generative AI. Whether you are a seasoned AI practitioner, a curious researcher, a forward-thinking entrepreneur, or a passionate enthusiast, this book provides valuable tips and strategies to navigate the vast and intricate world of Generative AI. We invite you to explore, experiment, and innovate with the knowledge you gain from this book. Together, we can unlock the full potential of Generative AI and shape a future where intelligent machines and human creativity coexist and collaborate in unprecedented ways. Welcome to "200 Tips for Mastering Generative AI." Your journey into the fascinating world of Generative AI begins here.

A Practical Guide To Generative Ai Using Amazon Bedrock

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Author : Avik Bhattacharjee
language : en
Publisher: Springer Nature
Release Date : 2025-07-08

A Practical Guide To Generative Ai Using Amazon Bedrock written by Avik Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.

This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications. The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations. The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization. What You Will Learn Understand the fundamentals of Generative AI and Amazon Bedrock Build Responsible Generative AI applications leveraging Amazon Bedrock Know techniques and best practices See real-world applications Integrate and manage platforms Handle securty and governance issues Evaluate and optimze models Gain future-ready insights Understand the project life cycle when building Generative AI Applications Who This Book Is For Data scientistys, AI/ML engineers and architects, software developers plus AI enthusiasts and studenta and educators, and leaders who want to evangelize within organizatios

Mastering Marketing Data Science

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Author : Iain Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-26

Mastering Marketing Data Science written by Iain Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Deep Learning For Coders With Fastai And Pytorch

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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Product Marketing In The Age Of Generative Ai A Practical Guide

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Author : Varun Grover Dr. Mohsin Fayaz
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-05

Product Marketing In The Age Of Generative Ai A Practical Guide written by Varun Grover Dr. Mohsin Fayaz and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.

The marketing landscape is undergoing a profound transformation. The advent of generative AI has introduced unprecedented opportunities—and challenges—for product marketers. With tools that can create compelling content, hyper-personalized messaging, and predictive insights at scale, generative AI has changed the rules of engagement. Yet, alongside its promise comes a pressing need to navigate ethical considerations, trustworthiness, and how to maintain the human touch in a world increasingly shaped by algorithms. Product Marketing in the Age of Generative AI is a guide for those at the forefront of this transformation. It’s for product marketers who see generative AI not as a replacement for human ingenuity, but as a powerful partner in driving creativity, efficiency, and impact. This book is about mastering the tools and techniques that generative AI offers while staying rooted in the core principles of great product marketing: understanding your audience, crafting resonant messaging, and driving tangible results. This is not a book about AI hype or abstract theory. Instead, it’s a practical guide grounded in real- world applications, case studies, and actionable strategies. You’ll learn how to integrate generative AI into your marketing workflows, enhance customer engagement, and scale your efforts without sacrificing quality. Along the way, we’ll explore how to leverage AI responsibly, balancing automation with authenticity to build trust and lasting connections. The age of generative AI is not coming—it’s here. And as product marketers, the question isn’t whether to embrace it, but how to do so effectively and ethically. My hope is that this book equips you with the knowledge and confidence to navigate this new frontier, transforming challenges into opportunities and leveraging AI as a force multiplier for your marketing efforts. Whether you’re an experienced marketer looking to stay ahead of the curve or someone new to the field eager to understand how generative AI can enhance your craft, this book is for you. Together, let’s explore how to thrive in this exciting era and redefine what’s possible in product marketing. Welcome to the future of product marketing. Let’s get started.

Mastering Large Language Models With Python

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Author : Raj Arun R
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-04-12

Mastering Large Language Models With Python written by Raj Arun R 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 2024-04-12 with Computers categories.

A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. DESCRIPTION “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. WHAT WILL YOU LEARN ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. TABLE OF CONTENTS 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index

Generative Ai Mastery

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Author : Ethan Westwood
language : en
Publisher: SMART Books
Release Date :

Generative Ai Mastery written by Ethan Westwood and has been published by SMART Books this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Discover the limitless possibilities of artificial intelligence with Generative AI Mastery, the ultimate resource for creators, innovators, and professionals looking to harness the transformative power of Generative AI. This book offers a deep dive into frameworks and strategies that empower you to unlock AI’s full potential in your projects. Far from a technical manual, this book focuses on providing actionable frameworks, practical insights, and inspiring examples to help you integrate AI into your creative and professional endeavors. Whether you’re crafting visuals, generating content, or optimizing processes, this guide equips you with the tools to think strategically and innovate boldly. Inside, you'll explore: - Key concepts demystified: Understand how Generative AI works and why it matters. - Frameworks for success: Proven approaches to applying AI effectively in creative and business contexts. - Real-world applications: Inspiring use cases from industries ranging from art to technology. - Ethical insights: How to use AI responsibly while fostering innovation. Generative AI Mastery is your essential companion to navigating the ever-expanding frontier of AI creativity. Whether you're a curious beginner or a seasoned professional, this book provides the knowledge and inspiration you need to master the art of working with AI. Reimagine what’s possible with Generative AI—your future starts here.

Mastering Chatgpt And Google Colab For Machine Learning Automate Ai Workflows And Fast Track Your Machine Learning Tasks With The Power Of Chatgpt Google Colab And Python

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Author : Rosario Moscato
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-09-19

Mastering Chatgpt And Google Colab For Machine Learning Automate Ai Workflows And Fast Track Your Machine Learning Tasks With The Power Of Chatgpt Google Colab And Python written by Rosario Moscato and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-19 with Computers categories.

Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems. Key Features● Step-by-step progression from foundational machine learning concepts to advanced techniques using ChatGPT and Google Colab. ● Clear and detailed instructions for data preparation, model training, and evaluation, simplifying complex machine learning tasks. ● Extensive use of Google Colab for coding and experimentation, providing a real-world platform to apply learned techniques effectively. Book DescriptionUnlock the future of machine learning by mastering Google Colab, trusted by over 5 million data scientists, and ChatGPT, powering 100 million users worldwide. This book bridges the latest in AI with practical, hands-on applications for data science. With these game-changing tools at your command, you’ll be able to streamline complex workflows, automate tedious tasks, and propel your AI skills to new heights—making machine learning faster, smarter, and more accessible than ever before. Each chapter unfolds a specific aspect of data science and machine learning, seamlessly integrated with ChatGPT’s free version capabilities. The foundational chapters introduce key machine learning concepts, while advanced sections explore topics such as natural language processing, sentiment analysis, and predictive analytics—all illustrated with real-world examples and interactive exercises. The later chapters focus on optimizing tasks using the more powerful paid version of ChatGPT, culminating in the creation of a custom GPT named “Data Scientist” to tackle specialized challenges. Additionally, the book includes a section on best practices, expert tips, and interview questions, making it a comprehensive resource for aspiring data scientists and seasoned professionals alike. What you will learn● Learn to integrate and optimize ChatGPT and Google Colab for enhanced data science tasks. ● Master techniques for preparing and cleaning data for analysis. ● Gain a solid grasp of statistical concepts essential for data science. ● Learn the processes for training, evaluating, and refining machine learning models. ● Perform data analysis and preprocessing using natural language processing techniques. Table of Contents1. Introduction to ChatGPT 2. ChatGPT for Data Science and Machine Learning 3. Fundamentals of Statistics for Data Science 4. Missing Values and Outliers 5. Relation Between Variables and Charts 6. Data Preparation 7. Training and Evaluation 8. Fine Tuning, Features Selection, and Final Model 9. Data Preparation and Training 10. Fine Tuning and Final Model 11. Data Analysis and Dataset Manipulation (NLP) 12. Sentiment Analysis and Predictions 13. ChatGPT-4 for a Completely Automated Data Science Workload 14. Customizing GPT for Applications 15. Takeaways and Conclusions Index

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