A Comprehensive Handbook To Llms And Generative Ai
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A Comprehensive Handbook To Llms And Generative Ai
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Author : Dr. Sitanath Biswas
language : en
Publisher: JEC PUBLICATION
Release Date :
A Comprehensive Handbook To Llms And Generative Ai written by Dr. Sitanath Biswas 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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Generative Ai With Local Llm
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Author : Timur Isachenko
language : en
Publisher: Timur Isachenko
Release Date : 2024-10-04
Generative Ai With Local Llm written by Timur Isachenko and has been published by Timur Isachenko this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.
A comprehensive roadmap for building AI-Driven applications with local LLMs
Generative Ai Automation A Comprehensive Guide Notion Voiceflow Zapier Make Airtable Highlevel Apify Synthflow Chat Gpt Claude Gemini Pro Google Workspace
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Generative Ai Automation A Comprehensive Guide Notion Voiceflow Zapier Make Airtable Highlevel Apify Synthflow Chat Gpt Claude Gemini Pro Google Workspace written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Generative AI Automation: A Comprehensive Guide" offers a thorough exploration of the burgeoning field of generative artificial intelligence (AI), providing readers with a comprehensive understanding of its principles, applications, and potential impact. This book serves as a roadmap for both beginners and seasoned professionals, breaking down complex concepts into digestible chunks while offering practical insights for implementation. Beginning with an introduction to the fundamentals of AI and machine learning, the book gradually delves into the intricacies of generative models, explaining how they enable machines to create new content, such as images, music, text, and more, autonomously. Readers are guided through various generative AI techniques, including popular models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models, with clear explanations and real-world examples illustrating their capabilities. The book doesn't just stop at theory; it provides hands-on guidance for readers to start experimenting with generative AI themselves. Step-by-step tutorials and coding examples using popular frameworks like TensorFlow and PyTorch empower readers to build their own generative models and understand the practical considerations involved in training and deploying them. Moreover, the book explores the ethical implications and societal impacts of generative AI, addressing concerns such as bias, privacy, and the future of work in an AI-driven world. With its accessible language, practical approach, and comprehensive coverage, "Generative AI Automation: A Comprehensive Guide" equips readers with the knowledge and skills they need to harness the transformative potential of generative AI in their own projects and endeavors. Whether you're a curious novice or an experienced practitioner, this book is your definitive resource for navigating the exciting landscape of generative AI automation.
The Complete Obsolete Guide To Generative Ai
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Author : David Clinton
language : en
Publisher: Simon and Schuster
Release Date : 2024-09-17
The Complete Obsolete Guide To Generative Ai written by David Clinton and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Computers categories.
The last book on AI you’ll ever need. We swear! AI technology moves so fast that this book is probably already out of date! But don’t worry—The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You’ll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API. Inside The Complete Obsolete Guide to Generative AI you will find: • Just enough background info on AI! What an AI model is how it works • Ways to create text, code, and images for your organization's needs • Training AI models on your local data stores or on the internet • Business intelligence and analytics uses for AI • Building your own custom AI models • Looking ahead to the future of generative AI Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI—and this book—are here to show you how. About the technology Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time—and your company’s money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen. About the book The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you’ll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you’ll build an intuition for how Generative AI can transform your daily work and communication—and maybe even learn how to make peace with your new robot overlords. What's inside • The big picture of Generative AI tools and tech • Creating useful text, code, and images • Writing effective prompts • AI-driven data analytics About the reader Written for developers, admins, and other IT pros. Some examples use simple Python code. About the author David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence. The technical editor on this book was Maris Sekar. Table of Contents 1 Understanding generative AI basics 2 Managing generative AI 3 Creating text and code 4 Creating with media resources 5 Feeding data to your generative AI models 6 Prompt engineering: Optimizing your experience 7 Outperforming legacy research and learning tools 8 Understanding stuff better 9 Building and running your own large language model 10 How I learned to stop worrying and love the chaos 11 Experts weigh in on putting AI to work A Important definitions and a brief history B Generative AI resources C Installing Python
A Comprehensive Guide To Gen Ai In Healthcare Transformation 2025
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Author : Lakshman Kumar Jamili, Dr. Rahul Kumar
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
A Comprehensive Guide To Gen Ai In Healthcare Transformation 2025 written by Lakshman Kumar Jamili, Dr. Rahul Kumar and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
brink of a technological revolution, driven by the rapid advancements in artificial intelligence. Among the most groundbreaking innovations is Generative AI (Gen AI), a powerful subset of AI that is transforming diagnostics, personalized medicine, clinical workflows, and patient engagement. By leveraging deep learning models, Gen AI is not only enhancing decision-making for healthcare professionals but also improving outcomes, reducing costs, and optimizing operational efficiency. This book, A Comprehensive Guide to Gen AI in Healthcare Transformation, explores how generative AI is reshaping every facet of healthcare. From AI-assisted drug discovery and predictive analytics to automated documentation and virtual health assistants, we delve into the practical applications, benefits, and challenges of this emerging technology. Beyond its technical capabilities, Gen AI also raises critical ethical, regulatory, and privacy concerns. As healthcare institutions adopt AI-driven solutions, questions about data security, bias mitigation, and regulatory compliance become more pressing. This book provides a balanced perspective, addressing both the immense potential and the responsibilities that come with integrating AI into healthcare systems. Our goal is to equip healthcare professionals, researchers, policymakers, and technology leaders with the knowledge and insights needed to harness Gen AI effectively. Whether you are exploring AI’s role in medical research or seeking ways to implement AI-driven solutions in clinical practice, this book serves as a comprehensive guide to navigating the future of healthcare innovation. The transformation is already underway. The question is no longer if AI will redefine healthcare but howwe can maximize its impact responsibly and effectively. Authors
Comprehensive Guide To Botsify
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-21
Comprehensive Guide To Botsify written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-21 with Computers categories.
"Comprehensive Guide to Botsify" The "Comprehensive Guide to Botsify" is the definitive resource for mastering the full capabilities of the Botsify conversational AI platform. Structured to serve architects, developers, and enterprise leaders alike, this guide delves into every facet of Botsify’s system—from its robust cloud-based architecture and intelligent natural language processing, to multi-channel orchestration and plugin-driven extensibility. The book opens with foundational insights into Botsify’s technical underpinnings, covering platform security, compliance frameworks, and scalable deployment patterns that meet rigorous enterprise demands. Moving beyond architecture, the guide provides a deep dive into advanced conversation design, ensuring readers can build, manage, and optimize rich, context-aware dialogs with persistent memory, conditional logic, A/B testing, and modular workflows. It explores seamless integrations with leading enterprise systems (CRM, ERP, and helpdesk), secure payment and authentication flows, and leverages third-party AI engines and microservices—all critical for delivering personalized, omnichannel experiences. Further chapters guide readers through custom development using plugins and scripts, automation best practices, and the deployment of sophisticated transactional and notification systems. Finally, the book addresses practical operations at scale, including analytics-driven optimization, DevOps automation, and security governance. It delineates techniques for resilient infrastructure, continuous monitoring, and global multi-bot management. The "Comprehensive Guide to Botsify" culminates with future-facing trends such as AI-enhanced bots, voice and IoT integrations, and ethical considerations in conversational AI. Whether you are building your organization’s first bot or scaling to millions of users, this is an indispensable reference for advancing your Botsify expertise with confidence and vision.
Proceedings Of 4th International Conference On Artificial Intelligence And Smart Energy
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Author : S. Manoharan
language : en
Publisher: Springer Nature
Release Date : 2024-06-07
Proceedings Of 4th International Conference On Artificial Intelligence And Smart Energy written by S. Manoharan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-07 with Computers categories.
This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
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.
A Beginner S Guide To Generative Ai
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Author : Deepshikha Bhati
language : en
Publisher: Springer Nature
Release Date : 2025-08-22
A Beginner S Guide To Generative Ai written by Deepshikha Bhati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Computers categories.
This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative technologies of our time. Designed for beginners and requiring no prior knowledge of AI, this book breaks down the fundamentals of generative AI, from text and image generation to the workings of models like ChatGPT and Google Bard. The authors provide step-by-step coverage of the essential concepts and techniques that power generative AI. From the basics of how machines learn to generate text and images, to the intricate workings of models like Transformers, ChatGPT, and Google Bard, readers will gain a solid foundation in AI's most cutting-edge tools. Rather than focusing on a single method, the authors introduce a spectrum of generative modeling techniques, including diffusion models, variational autoencoders, and transformers. This comprehensive exposure ensures readers will be well-prepared to understand and adapt to the rapidly evolving AI landscape. In addition, real-world applications of generative AI across various industries are explored including healthcare innovations, business analytics, and legal technology, and the authors provide practical insights and examples that show how generative AI is revolutionizing these fields.
Textual Intelligence
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Author : Meenakshi Malik
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-23
Textual Intelligence written by Meenakshi Malik 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 2025-07-23 with Computers categories.
The book is a must-have resource for anyone looking to understand the complexities of generative AI, offering comprehensive insights into LLMs, effective training strategies, and practical applications. Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book: Explores the real-world potential of large language models; Introduces industry-changing AI solutions; Provides advanced insights on AI and its models. Audience Industry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI.