Generative Ai Foundations Developments And Applications

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Generative Ai Foundations Developments And Applications

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Author : Kannan, Rajkumar
language : en
Publisher: IGI Global
Release Date : 2025-03-26

Generative Ai Foundations Developments And Applications written by Kannan, Rajkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.

In recent years, the field of generative artificial intelligence (AI) has witnessed remarkable advancements, transforming various domains from art and music to language and healthcare. Advanced techniques, such as conditional generation, style transfer, and unsupervised learning, showcase the cutting-edge research shaping the field. The ability of generative AI models to create novel content autonomously has sparked immense interest and innovation. Future directions provide speculations for potential breakthroughs, challenges, and opportunities for further research and innovation. Generative AI Foundations, Developments, and Applications serves as a resource to understanding generative AI across various domains including natural language processing, computer vision, and drug discovery. It explores the theoretical foundations, latest developments, and practical applications of generative AI. Covering topics such as prompt engineering, multimodal data fusion, and natural language processing, this book is an excellent resource for computer scientists, computer engineers, practitioners, professionals, researchers, scholars, academicians, and more.

Ai Foundations Of Generative Ai

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Author : Jon Adams
language : en
Publisher: Green Mountain Computing
Release Date :

Ai Foundations Of Generative Ai written by Jon Adams and has been published by Green Mountain Computing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Dive into the captivating world of Generative AI with "AI Foundations of Generative AI," a groundbreaking exploration at the crossroads of creativity and technology. This enlightening book serves as your comprehensive guide through the burgeoning field of Generative AI, where machines wield the power of creativity to produce art, music, literature, and more. Authored by leading experts in the field, this book demystifies the complex algorithms behind AI's ability to emulate human creativity, offering readers a front-row seat to the future of digital innovation. Key Features: Engaging Content: Written in an accessible style, free from daunting jargon, making complex concepts approachable for all readers. Interactive Exercises: Hands-on activities to deepen understanding of AI principles. Ethical Considerations: Insightful discussions on the moral implications of virtual influencers, deepfakes, and AI-driven creativity. Chapters Overview: The Digital Composer: Uncover how AI creates symphonies that challenge the works of great composers. Artistic Algorithms: Explore the systems generating visual art indistinguishable from human-created pieces. Wordsmiths of the Digital Age: Delve into how AI crafts poetry and prose with the finesse of human writers. Synthesized Realities: Navigate the creation of hyper-realistic images, videos, and sounds through AI. Virtual Influencers and Moral Codes: Examine the ethical dimensions of AI-driven personalities and content. Data Driven Storytelling: Understand how AI transforms data into compelling narratives and interactive experiences. Chat GPT and Open AI: Gain insights into the organizations and technologies at the forefront of generative AI. Content Tailored by Technology: Discover the future of personalized media and digital environments shaped by AI. Perfect for tech enthusiasts, creative professionals, and anyone curious about the intersection of art and artificial intelligence, "AI Foundations of Generative AI" offers a unique lens through which to view the future of creativity and technology. Whether you're a tech-savvy reader or new to the world of AI, this book promises to enlighten and inspire with its vision of a world where creativity knows no bounds. Embark on a Journey of Discovery: Prepare to be both enlightened and inspired as you explore the limitless possibilities of Generative AI. "AI Foundations of Generative AI" is your ticket to understanding and participating in the future of creative technology.

Generative Ai Foundations In Python

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Author : Carlos Rodriguez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-26

Generative Ai Foundations In Python written by Carlos Rodriguez and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.

Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.What you will learn Discover the fundamentals of GenAI and its foundations in NLP Dissect foundational generative architectures including GANs, transformers, and diffusion models Find out how to fine-tune LLMs for specific NLP tasks Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs Who this book is for This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.

Handbook Of Artificial Intelligence For Music

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Author : Eduardo Reck Miranda
language : en
Publisher: Springer Nature
Release Date : 2021-07-02

Handbook Of Artificial Intelligence For Music written by Eduardo Reck Miranda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-02 with Computers categories.

This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.

Generative Ai Techniques Models And Applications

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Author : Rajan Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-03-26

Generative Ai Techniques Models And Applications written by Rajan Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.

This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from: Clear explanations of advanced concepts. Practical implementation insights. Current industry applications. Ethical framework discussions. Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness.

Building A Resilient Sap Enterprise

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Author : Soulat Khan
language : en
Publisher: BPB Publications
Release Date : 2025-06-18

Building A Resilient Sap Enterprise written by Soulat Khan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.

SAP's transformation from on-premises solutions to cloud-first offerings represents a paradigm shift for enterprise architecture. RISE and GROW with SAP are redefining how organizations deploy, customize, and extend SAP applications in the cloud era, creating opportunities for innovation alongside new architectural challenges. This book navigates contemporary SAP solutions, ensuring that an enterprise remains robust and future-ready. This book takes you through modern SAP development, from clean core methodology and essential skill modernization for SAP developers and architects, alongside SAP's latest cloud deployment models like RISE and GROW. You will explore the entire SAP Development Platform, including SAP BTP, Build tools, and generative AI integration. The book then explores designing resilient SAP applications using low-code and no-code approaches, cloud extensibility with Steampunk and Embedded Steampunk, and ABAP cloud development with SAP APIs and ADT. Crucially, it also covers vital aspects of application security and cost management. By the end of this book, you will be equipped to architect resilient SAP solutions that leverage the combined power of SAP BTP and hyperscaler services, ensuring your enterprise can innovate rapidly while maintaining security, performance, and operational excellence in an increasingly complex cloud landscape. WHAT YOU WILL LEARN ● Implement clean core methodology to maximize SAP upgrade efficiency. ● Navigate the RISE and GROW licensing models and technical implications. ● Integrate SAP BTP with hyperscaler services for scalable solutions. ● Leverage generative AI to enhance SAP business processes. ● Apply well-architected principles to SAP BTP applications. ● Manage security and costs across hybrid SAP landscapes. ● Design highly available, resilient SAP applications with low-code/no-code. WHO THIS BOOK IS FOR This book is designed for SAP architects, developers, and technical leaders responsible for enterprise SAP transformation. It is ideal for professionals seeking to evolve from traditional ABAP development to modern cloud-native SAP implementation strategies. TABLE OF CONTENTS 1. Introduction to the Modern SAP Enterprise 2. Overview of SAP’s Latest Offers, RISE and GROW 3. SAP Business Technology Platform and Cloud Provider Integration 4. Introduction to Generative AI 5. Building Well-Architected Applications on SAP BTP 6. Managing Application Security and Costs 7. Concluding Remarks and Additional Resources

Building Llm Powered Applications

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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-22

Building Llm Powered Applications written by Valentina Alto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-22 with Computers categories.

Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.

Human Vs Chatgpt Language Of Advertising In Beauty Products Advertisements

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Author : Ida Skubis
language : en
Publisher: CRC Press
Release Date : 2024-11-21

Human Vs Chatgpt Language Of Advertising In Beauty Products Advertisements written by Ida Skubis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with Computers categories.

This book systematically investigates the linguistic strategies employed in beauty product advertising to assess their persuasive and manipulative effects. The work is divided into two sections: a review of relevant literature and an empirical analysis of advertisements. The analysis initially focuses on the linguistic features of advertisements created by humans prior to the introduction of ChatGPT, examining the linguistic measures used and their methods of persuasion and manipulation. Subsequent sections provide a detailed examination of advertisements generated by ChatGPT versions 3.5 and 4.0, analysing the artificial intelligence’s use of linguistic techniques. This includes a meta-analysis where ChatGPT itself discusses the linguistic strategies it employs. The ultimate goal is to compare and contrast the effectiveness and linguistic devices used in advertisements crafted by humans and those by ChatGPT, analysing how AI influences the language of advertising and its impact on consumer behaviour.

Application Of Generative Ai In Healthcare Systems

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Author : Azadeh Zamanifar
language : en
Publisher: Springer Nature
Release Date : 2025-02-25

Application Of Generative Ai In Healthcare Systems written by Azadeh Zamanifar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Medical categories.

Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.

Building Generative Ai Agents

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Author : Tom Taulli
language : en
Publisher: Springer Nature
Release Date : 2025-06-15

Building Generative Ai Agents written by Tom Taulli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.

The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack. Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It’s why the world’s largest technology companies – like Microsoft, Apple, Google, and Meta – are making enormous investments in this category. While chatbots like ChatGPT, Claude, and Gemini have demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users. These agents already exhibit capabilities such as running test suites, searching the web for documentation, writing software, answering questions based on vast organized information, and performing intricate web-based tasks across multiple domains. They can autonomously investigate cybersecurity incidents and address complex customer support needs. By integrating skills, knowledge bases, planning frameworks, memory, and feedback loops, these systems can handle many tasks and improve over time. Building Generative AI Agents serves as a high-quality guide for developers to understand when and where AI agents can be useful, their advantages and disadvantages, and practical advice on designing, building, deploying, and monitoring them. What You Will Learn The foundational concepts, capabilities, and potential of AI agents. Recent innovations in large language models that have enabled the development of AI agents. How to build AI agents for launching a product, creating a financial plan, handling customer service, and using Retrieval Augmented Generation (RAG). Essential frameworks for building generative AI agents, including AutoGen, LangChain, LangGraph, CrewAI, and Haystack. Step-by-step guidance on designing, building, and deploying AI agents. Insights into the future of AI agents and their potential impact on various industries. Who This Book Is For Experienced software developers