Mastering Retrieval Augmented Generation

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Mastering Retrieval Augmented Generation

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Author : Prashanth Josyula
language : en
Publisher: BPB Publications
Release Date : 2025-03-21

Mastering Retrieval Augmented Generation written by Prashanth Josyula and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Computers categories.

DESCRIPTION Large language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology — powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results. It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge — understanding architectures, training processes, and ethical considerations — before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. It explores advanced optimization techniques, and offers hands-on coding exercises to ensure practical understanding. Real-world case studies and industry applications help bridge the gap between theory and implementation. By the final chapter, you will have the skills to design, build, and optimize RAG-powered applications — integrating LLMs with retrieval systems, creating custom pipelines, and scaling for performance. Whether you are an experienced AI professional or an aspiring developer, this book equips you with the knowledge and tools to stay ahead in the ever-evolving world of AI. WHAT YOU WILL LEARN ● Understand the fundamentals of LLMs. ● Explore RAG and its key components. ● Build GenAI applications using LangChain and LlamaIndex frameworks. ● Optimize retrieval strategies for accurate and grounded AI responses. ● Deploy scalable, production-ready RAG pipelines with best practices. ● Troubleshoot and fine-tune RAG pipelines for optimal performance. WHO THIS BOOK IS FOR This book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers. TABLE OF CONTENTS 1. Introduction to Large Language Models 2. Introduction to Retrieval-augmented Generation 3. Getting Started with LangChain 4. Fundamentals of Retrieval-augmented Generation 5. Integrating RAG with LangChain 6. Comprehensive Guide to LangChain 7. Introduction to LlamaIndex 8. Building and Optimizing RAG Pipelines with LlamaIndex 9. Advanced Techniques with LlamaIndex 10. Deploying RAG Models in Production 11. Future Trends and Innovations in RAG

Mastering Spring Ai

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Author : Banu Parasuraman
language : en
Publisher: Springer Nature
Release Date : 2024-12-01

Mastering Spring Ai written by Banu Parasuraman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.

Dive into the future of programming with this comprehensive guide for Java developers to integrate large language models (LLMs) and Generative AI using the Spring Framework. This book comes at a revolutionary time when AI technology is transforming how we implement solutions in various fields, including natural language processing, content generation, and predictive analytics. With its widespread use in the Java community, the Spring Framework is a logical choice for this integration. By focusing on integrating LLMs and GenAI with Spring, this book bridges a significant gap between cutting-edge AI technologies and traditional Java development practices. The author uses a hands-on approach, guiding you through practical implementation to effectively show how to apply theory in real-world situations. Basic introductions of topics—Spring AI, Spring Framework, and other related AI technologies—evolve into advanced integrations to ensure that you find valuable insights regardless of your starting level. Additionally, this book dedicates sections to security and ethical considerations, addressing the pressing issues associated with AI. With a look at emerging trends and future developments, this book prepares you for what's next, ensuring that you are not just catching up with the current state of technology but are also ready for future advancements. What You Will Learn • Master the integration of LLMs and GenAI with the Spring Framework • Develop practical skills in developing AI-driven applications using Java • Gain insights into handling data, security, and ethical considerations in AI applications • Apply strategies for optimizing performance and scalability in AI-enabled applications • Prepare for future AI trends and technologies Who This Book Is For Intermediate to advanced Java developers who are familiar with the Spring Framework, including concepts such as dependency injection, Spring Boot, and building RESTful services. This foundational knowledge will help developers grasp the more advanced topics of integrating AI technologies with Spring. Prior knowledge of basic AI concepts and machine learning is helpful but not essential as the book covers these topics from the ground up.

Mastering Openai For Enterprise

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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-11

Mastering Openai For Enterprise written by Sriram Subramanian 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 2025-03-11 with Computers categories.

TAGLINE Master OpenAI and Unlock the Future of AI-Powered Innovation KEY FEATURES ● In-depth exploration of OpenAI tools, models, and enterprise use cases ● Hands-on projects with extensive code samples for practical learning ● Real-world case studies with ethical AI insights and best practices DESCRIPTION OpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. Ethical AI development and responsible implementation are also key themes, ensuring that innovation is balanced with accountability. As AI continues to evolve at an unprecedented pace, mastering OpenAI is no longer optional—it’s essential. The future belongs to those who can effectively leverage these technologies. Don’t get left behind—equip yourself with the expertise needed to stay ahead in the AI revolution. WHAT WILL YOU LEARN ● Gain expertise in OpenAI’s models, APIs, and enterprise applications ● Build intelligent chatbots and virtual assistants using ChatGPT ● Implement ethical AI practices for responsible and fair deployment ● Optimize and deploy OpenAI models for scalable business solutions ● Analyze real-world case studies to drive AI-powered innovation ● Leverage generative AI to automate, enhance, and transform workflows WHO IS THIS BOOK FOR? This book is tailored for both beginners and experienced professionals looking to harness the power of OpenAI. Ideal for application architects, developers, AI engineers, CTOs, and technology leaders, it provides the essential knowledge and hands-on skills needed to integrate OpenAI solutions into enterprise applications effectively. TABLE OF CONTENTS 1. OpenAI Primer 2. Deep Learning, Transformers, and OpenAI Tools 3. Natural Language Processing with GPTs 4. Computer Vision with DALL-E and CLIP 5. Building Chatbots with ChatGPT 6. AI Ethics and Responsible AI 7. Deploying OpenAI Models 8. Case Studies and Best Practices Appendix. Retrieval-Augmented Generation (RAG) Index

Mastering Llm Applications With Langchain And Hugging Face

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Author : Hunaidkhan Pathan
language : en
Publisher: BPB Publications
Release Date : 2024-09-21

Mastering Llm Applications With Langchain And Hugging Face written by Hunaidkhan Pathan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.

DESCRIPTION The book is all about the basics of NLP, generative AI, and their specific component LLM. In this book, we have provided conceptual knowledge about different terminologies and concepts of NLP and NLG with practical hands-on. This comprehensive book offers a deep dive into the world of NLP and LLMs. Starting with the fundamentals of Python programming and code editors, the book gradually introduces NLP concepts, including text preprocessing, word embeddings, and transformer architectures. You will explore the architecture and capabilities of popular models like GPT-3 and BERT. The book also covers practical aspects of LLM usage for RAG applications using frameworks like LangChain and Hugging Face and deploying them in real world applications. With a focus on both theoretical knowledge and hands-on experience, this book is ideal for anyone looking to master the art of NLP and LLMs. The book also contains AWS Cloud deployment, which will help readers step into the world of cloud computing. As the book contains both theoretical and practical approaches, it will help the readers to gain confidence in the deployment of LLMs for any use cases, as well as get acquainted with the required generative AI knowledge to crack the interviews. KEY FEATURES ● Covers Python basics, NLP concepts, and terminologies, including LLM and RAG concepts. ● Provides exposure to LangChain, Hugging Face ecosystem, and chatbot creation using custom data. ● Guides on integrating chatbots with real-time applications and deploying them on AWS Cloud. WHAT YOU WILL LEARN ● Basics of Python, which contains Python concepts, installation, and code editors. ● Foundation of NLP and generative AI concepts and different terminologies being used in NLP and generative AI domain. ● LLMs and their importance in the cutting edge of AI. ● Creating chatbots using custom data using open source LLMs without spending a single penny. ● Integration of chatbots with real-world applications like Telegram. WHO THIS BOOK IS FOR This book is ideal for beginners and freshers entering the AI or ML field, as well as those at an intermediate level looking to deepen their understanding of generative AI, LLMs, and cloud deployment. TABLE OF CONTENTS 1. Introduction to Python and Code Editors 2. Installation of Python, Required Packages, and Code Editors 3. Ways to Run Python Scripts 4. Introduction to NLP and its Concepts 5. Introduction to Large Language Models 6. Introduction of LangChain, Usage and Importance 7. Introduction of Hugging Face, its Usage and Importance 8. Creating Chatbots Using Custom Data with LangChain and Hugging Face Hub 9. Hyperparameter Tuning and Fine Tuning Pre-Trained Models 10. Integrating LLMs into Real-World Applications–Case Studies 11. Deploying LLMs in Cloud Environments for Scalability 12. Future Directions: Advances in LLMs and Beyond Appendix A: Useful Tips for Efficient LLM Experimentation Appendix B: Resources and References

Mastering Large Language Models

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Author : Sanket Subhash Khandare
language : en
Publisher: BPB Publications
Release Date : 2024-03-12

Mastering Large Language Models written by Sanket Subhash Khandare and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Computers categories.

Do not just talk AI, build it: Your guide to LLM application development KEY FEATURES ● Explore NLP basics and LLM fundamentals, including essentials, challenges, and model types. ● Learn data handling and pre-processing techniques for efficient data management. ● Understand neural networks overview, including NN basics, RNNs, CNNs, and transformers. ● Strategies and examples for harnessing LLMs. DESCRIPTION Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks , and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment. With this book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices. WHAT YOU WILL LEARN ● Grasp fundamentals of natural language processing (NLP) applications. ● Explore advanced architectures like transformers and their applications. ● Master techniques for training large language models effectively. ● Implement advanced strategies, such as meta-learning and self-supervised learning. ● Learn practical steps to build custom language model applications. WHO THIS BOOK IS FOR This book is tailored for those aiming to master large language models, including seasoned researchers, data scientists, developers, and practitioners in natural language processing (NLP). TABLE OF CONTENTS 1. Fundamentals of Natural Language Processing 2. Introduction to Language Models 3. Data Collection and Pre-processing for Language Modeling 4. Neural Networks in Language Modeling 5. Neural Network Architectures for Language Modeling 6. Transformer-based Models for Language Modeling 7. Training Large Language Models 8. Advanced Techniques for Language Modeling 9. Top Large Language Models 10. Building First LLM App 11. Applications of LLMs 12. Ethical Considerations 13. Prompt Engineering 14. Future of LLMs and Its Impact

Mastering Nlp From Foundations To Llms

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Author : Lior Gazit
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-26

Mastering Nlp From Foundations To Llms written by Lior Gazit 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 2024-04-26 with Computers categories.

Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

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.

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.

Ai Frameworks Enabled By Blockchain

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Author : Vikram Dhillon
language : en
Publisher: Springer Nature
Release Date : 2025-07-17

Ai Frameworks Enabled By Blockchain written by Vikram Dhillon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Computers categories.

Blockchain technology offers a powerful foundation for building trust, privacy and verifiability into AI frameworks. This book will focus on how a blockchain can enable AI frameworks and applications to scale in a responsible fashion, reshaping the future of numerous industries from financial markets to healthcare and education. You’ll see that in the next wave of AI products, blockchain can provide a “Trust Layer,” a fundamental feature previously only implemented for parties within a blockchain network. The provable consensus algorithms and oracles previously implemented in blockchains can be extended to autonomous agents that are integrated with large language models (LLMs) and future applications. Finally, you’ll learn that safety is a major concern for practical applications of AI and blockchain can help mitigate threats due to the decentralized nature. As such, there will be significant discourse on how blockchain can provide enhanced security against prompt injections, LLM-hijacking for dangerous information and privacy. These ideas were studied rigorously when large financial institutions were releasing their own blockchains and distributed ledger protocols with a heavy focus privacy. AI is undergoing a Cambrian explosion this year with foundational models emerging for all major domains of study, however, most such models lack the capacity to externally validate for the “correctness” of a fact, or reply made by the LLM. Similarly, there are no definitive methods to distinguish between meaningful insights and hallucination. These challenges remain at the forefront of AI research, and AI Frameworks Enabled by Blockchain aims to translate technical literature into actionable and practical tips for the AI domain. What You Will Learn !-- [if !supportLists]--· !--[endif]--Bring a layer of accuracy to generative AI where a non-generative component behaves as guardrails !-- [if !supportLists]--· !--[endif]--Protect users from harmful biases as well as hallucinations. !-- [if !supportLists]--· !--[endif]--See how blockchain plays a role in aligning AI with human interests. !-- [if !supportLists]--· !--[endif]--Review use-cases and real-world applications from parties that have invested a significant amount in building technology stacks utilizing both. Who This Book Is For Enterprise users and policy makers in the field of Professional and Applied Computing

Mastering Rag 2 0

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Author : Luca Randall
language : en
Publisher: Independently Published
Release Date : 2025-04-03

Mastering Rag 2 0 written by Luca Randall and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Computers categories.

What if AI Could Think Like a Human-And Stay Up-to-Date? Mastering RAG 2.0: Building Robust AI Agents with Retrieval-Augmented Generation by Luca Randall explores the transformative power of Retrieval-Augmented Generation (RAG) 2.0, a cutting-edge AI framework that blends real-time data retrieval with advanced language generation. This book guides readers through the process of creating intelligent, context-aware AI agents capable of tackling complex tasks-from enterprise knowledge management to conversational chatbots. With a focus on practical applications, it breaks down the technical architecture, optimization techniques, and real-world use cases that make RAG 2.0 a game-changer in artificial intelligence. What Sets This Book Apart? Hands-On Learning: Gain practical skills with complete Python code examples for building RAG 2.0 systems. Advanced Insights: Explore topics like hybrid search, prompt engineering, and multi-agent collaboration to enhance AI performance. Future-Ready Vision: Understand emerging trends, such as multi-modal AI and the path to Artificial General Intelligence (AGI). Real-World Applications: See how RAG 2.0 powers solutions in legal, medical, and financial domains, driving efficiency and innovation. Whether you're an AI practitioner, developer, or curious student, this book equips you with the tools to create robust, autonomous AI systems that adapt to a fast-changing world. Ready to shape the future of AI? Grab your copy of Mastering RAG 2.0 today and start building intelligent agents that combine the best of retrieval and generation!