Building Ai Intensive Python Applications
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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.
Building Generative Ai Services With Fastapi
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Author : Alireza Parandeh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-04-15
Building Generative Ai Services With Fastapi written by Alireza Parandeh and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.
Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs. Whether you're a web developer, data scientist, or DevOps engineer, this book equips you with the tools to build scalable, real-time AI applications. Author Alireza Parandeh provides clear explanations and hands-on examples covering authentication, concurrency, caching, and retrieval-augmented generation (RAG) with vector databases. You'll also explore best practices for testing AI outputs, optimizing performance, and securing microservices. With containerized deployment using Docker, you'll be ready to launch AI-powered applications confidently in the cloud. Build generative AI services that interact with databases, filesystems, websites, and APIs Manage concurrency in AI workloads and handle long-running tasks Stream AI-generated outputs in real time via WebSocket and server-sent events Secure services with authentication, content filtering, throttling, and rate limiting Optimize AI performance with caching, batch processing, and fine-tuning techniques Visit the Book's Website.
Artificial Intelligence With Python For Beginners
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Author : James Ferry
language : en
Publisher:
Release Date : 2024
Artificial Intelligence With Python For Beginners written by James Ferry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Building Ai Driven Applications With Python And Tensorflow
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Author : Lammie Verden
language : en
Publisher: Independently Published
Release Date : 2025-04-02
Building Ai Driven Applications With Python And Tensorflow written by Lammie Verden and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with Computers categories.
Unlock the power of Artificial Intelligence and Machine Learning with Building AI-Driven Applications with Python and TensorFlow. This comprehensive guide will teach you how to develop real-world AI applications using Python and TensorFlow, one of the most popular and powerful frameworks for building machine learning models. Whether you're a beginner or an experienced developer, this book provides clear instructions and hands-on projects to help you master AI development and create intelligent systems that solve complex problems. Python, combined with TensorFlow, is a powerful toolkit for AI and machine learning, enabling you to create everything from predictive models to sophisticated deep learning applications. This book covers the fundamentals of AI, walks you through creating machine learning models, and provides practical examples of how to apply AI to solve real-world business challenges. Inside, you'll learn: The fundamentals of machine learning and AI, including supervised, unsupervised, and reinforcement learning How to install and set up Python and TensorFlow for AI development Building and training machine learning models using TensorFlow, including deep learning models like neural networks How to process and analyze data using popular Python libraries like NumPy, pandas, and Matplotlib Techniques for working with different types of data, such as text, images, and time-series data How to optimize your models for better performance and accuracy Real-world examples, including building applications like image classifiers, sentiment analyzers, and recommendation systems Best practices for deploying and scaling AI applications in production By the end of this book, you'll have the skills to build AI-driven applications with Python and TensorFlow and be able to apply machine learning to solve complex challenges in industries like healthcare, finance, e-commerce, and more. Key Features: Learn the basics of AI and machine learning with Python and TensorFlow Step-by-step guidance for building machine learning models, including deep learning applications Hands-on projects to create real-world AI applications like image recognition, sentiment analysis, and recommendation systems Best practices for optimizing models and deploying them for production use Learn how to process and work with real-world datasets to build accurate models Get started with Building AI-Driven Applications with Python and TensorFlow today and master the art of building intelligent, scalable, and efficient AI applications.
Mastering Ai
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Author : Dana Bradshaw
language : en
Publisher:
Release Date : 2025-03-03
Mastering Ai written by Dana Bradshaw and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Biography & Autobiography categories.
Artificial Intelligence (AI) has been rapidly transforming industries across the globe, from healthcare and finance to retail and entertainment. It powers a broad spectrum of applications, including intelligent chatbots, personalized recommendations, autonomous vehicles, and even creative tools like AI-generated art and music. For developers and programmers, learning how to build AI applications has become an essential skill. With Python, one of the most versatile and widely used programming languages, creating AI systems is more accessible than ever before. Python boasts a range of powerful libraries and frameworks, such as TensorFlow, PyTorch, and Scikit-Learn, that make it easier to implement machine learning and deep learning models. This book is designed to help you get hands-on experience in building real-world AI applications using Python. Throughout this guide, you'll learn how to leverage popular AI libraries, work with datasets, and build projects like chatbots, recommendation systems, and image classifiers. We'll also dive into best practices for handling data, optimizing models, and deploying AI applications. By the end of this book, you'll have a strong foundation in AI development, and you'll be ready to apply these skills to solve real-world problems.
Building Ai Apps With Hugging Face And Python
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Author : Max Reedwell
language : en
Publisher: Independently Published
Release Date : 2025-09-07
Building Ai Apps With Hugging Face And Python written by Max Reedwell and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-07 with Computers categories.
Want to go beyond theory and start building real AI applications? This hands-on guide shows you how to use Hugging Face Transformers with Python to create working NLP and machine-learning projects from scratch. Inside you'll discover step-by-step tutorials on everything from fine-tuning pretrained models to deploying NLP models to the cloud. You'll learn to work with Gradio and Hugging Face Spaces, build and share interactive demos, and understand best practices for environment setup, version control, and reproducible experiments. By the end of this book you'll be able to: Build and customize AI apps with Python Run natural language processing projects in Python using pipelines, tokenizers and datasets Fine-tune and evaluate machine-learning models on your own data Deploy and showcase models on Hugging Face Spaces and other platforms Clear explanations, runnable code, and practical tips make this the perfect resource for developers, data scientists, and students who want to quickly master modern NLP tools and bring their ideas to life. Whether you're a beginner exploring Python AI and machine learning projects or a professional adding cutting-edge NLP to your stack, this book gives you the roadmap and tools to succeed.
Official Google Cloud Certified Associate Cloud Engineer Study Guide
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Author : Dan Sullivan
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-16
Official Google Cloud Certified Associate Cloud Engineer Study Guide written by Dan Sullivan 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 2019-04-16 with Computers categories.
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Artificial Intelligence With Python
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Author : Alberto Artasanchez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Artificial Intelligence With Python written by Alberto Artasanchez 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 2020-01-31 with Computers categories.
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Digital Worker An Ai Agent Using Python Learn In Just 3 Hours
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Author : QuickTechie | A career growth machine
language : en
Publisher: QuickTechie | A Career growth Machine
Release Date : 2025-02-01
Digital Worker An Ai Agent Using Python Learn In Just 3 Hours written by QuickTechie | A career growth machine and has been published by QuickTechie | A Career growth Machine this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Business & Economics categories.
Digital Worker: An AI Agent using Python Learn in Just 3 Hours" is a practical guide focused on enabling developers, tech enthusiasts, and business professionals to rapidly create and deploy AI-powered digital workers. This book emphasizes a hands-on approach to building AI agents using Python, making it accessible even for those with minimal prior experience in AI development. Designed to be completed within a focused three-hour timeframe, the book eschews lengthy theoretical explanations in favor of practical application. According to the book's approach, readers will quickly learn to build intelligent AI agents leveraging Python and contemporary AI frameworks. This includes understanding how to automate various tasks through the use of AI-driven decision-making processes and natural language processing (NLP). This knowledge will allow readers to integrate their custom-built AI workers into diverse real-world scenarios such as customer support systems, financial applications, and general enterprise automation solutions, as highlighted by the practical examples offered. Furthermore, the book offers guidance on optimizing and scaling AI agents, ensuring they operate with both efficiency and accuracy. The learning is structured through step-by-step tutorials and grounded in real-world examples, allowing the reader to quickly grasp fundamental AI concepts and begin implementing AI digital workers without months of preparatory study. As QuickTechie.com might endorse, whether you are a developer seeking to enhance your skills, an entrepreneur aiming to integrate automation into your business processes, or simply an AI enthusiast eager to explore practical applications, this book provides a rapid and effective pathway to harnessing the power of automation and AI. The book empowers individuals to start creating and deploying AI solutions quickly without a long and complex learning process.
Stanford Bulletin
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Author :
language : en
Publisher:
Release Date : 2006
Stanford Bulletin written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.