Building Intelligent Applications With Generative Ai
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Building Intelligent Applications With Generative Ai
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Author : Yattish Ramhorry
language : en
Publisher: BPB Publications
Release Date : 2024-08-22
Building Intelligent Applications With Generative Ai written by Yattish Ramhorry and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Computers categories.
DESCRIPTION Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways. KEY FEATURES ● Learn the fundamentals of generative AI and the practical usage of prompt engineering. ● Gain hands-on experience in building generative AI applications. ● Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots. WHAT YOU WILL LEARN ● Understand generative AI (GAI) and large language models (LLMs). ● Explore real-world GAI applications across industries. ● Build intelligent applications with the ChatGPT API. ● Explore retrieval augmented generation with LangChain and Gemini Pro. ● Create chatbots with LangChain and Streamlit for data retrieval. WHO THIS BOOK IS FOR This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains. TABLE OF CONTENTS 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI
Building Intelligent Applications With Luis Ai
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-19
Building Intelligent Applications With Luis Ai 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 2025-06-19 with Computers categories.
"Building Intelligent Applications with Luis.ai" Unlock the full potential of conversational AI with "Building Intelligent Applications with Luis.ai," a comprehensive guide designed for professionals, architects, and developers seeking to master intelligent application development using Microsoft’s powerful Luis.ai platform. Beginning with a thorough overview of conversational intelligence, the book offers a deep exploration of Luis.ai’s architecture, foundational concepts, and its strategic integration within Azure Cognitive Services. Practical insights on languages, frameworks, and application patterns are balanced with guidance on ethical, security, and privacy considerations—equipping readers to design solutions that are both innovative and responsible. Delving into the intricacies of language understanding, the book methodically covers the design, modeling, and management of Luis.ai solutions, addressing topics such as intent taxonomy, entity extraction, data annotation, and advanced model composition. Readers are guided through robust training, testing, and validation methodologies, with a focus on iterative improvement, bias detection, and performance testing in real-world scenarios. Chapters devoted to API integration, scalable deployments, and real-time architectures ensure practical, production-ready implementations across diverse platforms and modalities. Beyond development fundamentals, the book addresses the operational realities of intelligent applications, with best practices for telemetry, monitoring, analytics, DevOps automation, and compliance. Security, privacy, and regulatory requirements are examined in depth, emphasizing auditability and incident response. The final sections explore cutting-edge trends, such as integrating large language models, deploying at the intelligent edge, and advancing personalization—all culminating in a forward-looking perspective on the challenges and opportunities shaping the next era of intelligent conversational agents.
Artificial Intelligence With Python
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Author : Prateek Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-27
Artificial Intelligence With Python written by Prateek Joshi 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 2017-01-27 with Computers categories.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Building Ai Intensive Python Applications
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Author : Rachelle Palmer
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-06
Building Ai Intensive Python Applications written by Rachelle Palmer 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 2024-09-06 with Computers categories.
Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps Key Features Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks Implement effective retrieval-augmented generation strategies with MongoDB Atlas Optimize AI models for performance and accuracy with model compression and deployment optimization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance. By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.What you will learn Understand the architecture and components of the generative AI stack Explore the role of vector databases in enhancing AI applications Master Python frameworks for AI development Implement Vector Search in AI applications Find out how to effectively evaluate LLM output Overcome common failures and challenges in AI development Who this book is for This book is for software engineers and developers looking to build intelligent applications using generative AI. While the book is suitable for beginners, a basic understanding of Python programming is required to make the most of it.
Azure Ai 102 Certification Essentials
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Author : Peter T. Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-14
Azure Ai 102 Certification Essentials written by Peter T. Lee 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 2025-08-14 with Computers categories.
Go beyond AI-102 certification by mastering the foundations of Azure AI concepts and services—reinforced through practical labs and real-world examples. Key Features Solidify your understanding with targeted questions at the end of each chapter Assess your knowledge of key concepts with over 45 exam-style questions, complete with detailed explanations Get hands-on experience with GitHub projects, along with ongoing support from the author on GitHub Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge. The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11's comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness. By the end of this book, you'll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.What you will learn Learn core concepts relating to AI, LLMs, NLP, and generative AI Build and deploy with Azure AI Foundry, CI/CD, and containers Manage and secure Azure AI services with built-in tools Apply responsible AI using Azure AI Content Safety Perform OCR and analysis with Azure AI Vision Build apps with the Azure AI Language and Speech services Explore knowledge mining with Azure AI Search and Content Understanding Implement RAG and fine-tuning with Azure OpenAI Build agents using Azure AI Foundry Agent Service and Semantic Kernel Who this book is for If you're preparing for the Azure AI-102 certification exam, this book is for you. Developers, engineers, and career transitioners moving from traditional software development to AI-focused roles can use this guide to deepen their understanding of AI within the Azure ecosystem. This book is also beneficial for students and educators looking to apply AI/ML concepts using Azure. No prior experience in AI/ML is required as this book provides comprehensive coverage of exam topics with detailed explanations, practical examples, and hands-on exercises to build your confidence and expertise.
Mastering Openai For Enterprise Unlock The Power Of Openai To Build Intelligent Applications For Businesses With Gpt Dall E Rag And Ai Agents
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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-03-11
Mastering Openai For Enterprise Unlock The Power Of Openai To Build Intelligent Applications For Businesses With Gpt Dall E Rag And Ai Agents written by Sriram Subramanian 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 2025-03-11 with Computers categories.
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 Book DescriptionOpenAI 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 you will 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
Entrepreneurship Innovation And Technology
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Author : Rajagopal
language : en
Publisher: Springer Nature
Release Date : 2024-11-28
Entrepreneurship Innovation And Technology written by Rajagopal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Business & Economics categories.
This book critically analyzes the convergence of success and failure factors of entrepreneurship, innovation, technology, business practices, public policies, and consumer values affecting the growth of the global-local business to support regional development. It provides a platform for researchers to learn entrepreneurial perspectives of various countries and develop pro-active entrepreneurship models. Chapters in this anthology share new impetus on global entrepreneurship and technology in future.
Building Intelligent Apps With Net And Azure Ai Services
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Author : Ashirwad Satapathi
language : en
Publisher: Springer Nature
Release Date : 2024-08-31
Building Intelligent Apps With Net And Azure Ai Services written by Ashirwad Satapathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-31 with Computers categories.
This comprehensive book equips you with the knowledge and skills you need to develop intelligent solutions by leveraging the capabilities of Azure AI Services. The book adopts a practical and example-based approach to help you easily grasp the subject matter and apply it effectively. The book begins by covering essential topics that lay the foundation for understanding Azure AI Services. You will know how to provision Azure AI Services and seamlessly integrate them into your .NET applications. Through detailed and illustrative examples, you will be guided step-by-step in building intelligent solutions that target a range of platforms. In addition to the core concepts, the book delves into various AI services, offering practical guidance on building solutions for a wide array of scenarios. From text translation to image classification, you will learn how to harness the power of Azure AI Services to solve complex problems. The book presents near-production scenarios and includes carefully crafted lab exercises to provide you with a hands-on learning experience. What You Will Learn Understand various Azure AI services required to build intelligent apps Perform language-based document classification with Azure AI Language Service Build a multi-language text translator app with .NET MAUI Integrate GenAI capabilities to your applications by leveraging Azure OpenAI Who This Book Is For Developers, cloud architects, and tech enthusiasts looking forward to building scalable and intelligent solutions using Azure AI Services and .NET
Generative Ai Apps With Langchain And Python
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Author : Rabi Jay
language : en
Publisher: Springer Nature
Release Date : 2024-12-26
Generative Ai Apps With Langchain And Python written by Rabi Jay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain’s components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you’ll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries. Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you’ll learn-by-be doing, enhancing your career possibilities in today’s rapidly evolving landscape. What You Will Learn Understand different types of LLMs and how to select the right ones for responsible AI. Structure effective prompts. Master LangChain concepts, such as chains, models, memory, and agents. Apply embeddings effectively for search, content comparison, and understanding similarity. Setup and integrate Pinecone vector database for indexing, structuring data, and search. Build Q & A applications for multiple doc formats. Develop multi-step AI workflow apps using LangChain agents. Who This Book Is For Python programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.
Building Ai Applications With Microsoft Semantic Kernel
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Author : Lucas A. Meyer
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-21
Building Ai Applications With Microsoft Semantic Kernel written by Lucas A. Meyer 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 2024-06-21 with Computers categories.
Unlock the power of GenAI by effortlessly linking your C# and Python apps with cutting-edge models, orchestrating diverse AI services with finesse, and crafting bespoke applications through immersive, real-world examples Key Features Link your C# and Python applications with the latest AI models from OpenAI Combine and orchestrate different AI services such as text and image generators Create your own AI apps with real-world use case examples that show you how to use basic generative AI, create images, process documents, use a vector database Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI. Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft’s AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You’ll then learn to craft prompt templates for reuse across various AI services and variables. Next, you’ll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You’ll also be guided through several real-world examples of applications, such as RAG and custom GPT agents. By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.What you will learn Write reusable AI prompts and connect to different AI providers Create new plugins that extend the capabilities of AI services Understand how to combine multiple plugins to execute complex actions Orchestrate multiple AI services to accomplish a task Leverage the powerful planner to automatically create appropriate AI calls Use vector databases as additional memory for your AI tasks Deploy your application to ChatGPT, making it available to hundreds of millions of users Who this book is for This book is for beginner-level to experienced .NET or Python software developers who want to quickly incorporate the latest AI technologies into their applications, without having to learn the details of every new AI service. Product managers with some development experience will find this book helpful while creating proof-of-concept applications. This book requires working knowledge of programming basics.