Building Ai Apps With Hugging Face And Python
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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.
Building Ai Agents With Llms Rag And Knowledge Graphs
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Author : Salvatore Raieli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-11
Building Ai Agents With Llms Rag And Knowledge Graphs written by Salvatore Raieli 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 2025-07-11 with Computers categories.
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously DRM-free PDF version + access to Packt's next-gen Reader Key Features Implement RAG and knowledge graphs for advanced problem-solving Leverage innovative approaches like LangChain to create real-world intelligent systems Integrate large language models, graph databases, and tool use for next-gen AI solutions Book DescriptionThis book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples and real-world case studies reinforce each concept and show how the techniques fit together. By the end of this book, you’ll be able to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries. Email sign-up and proof of purchase requiredWhat you will learn Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data Build and query knowledge graphs for structured context and factual grounding Develop AI agents that plan, reason, and use tools to complete tasks Integrate LLMs with external APIs and databases to incorporate live data Apply techniques to minimize hallucinations and ensure accurate outputs Orchestrate multiple agents to solve complex, multi-step problems Optimize prompts, memory, and context handling for long-running tasks Deploy and monitor AI agents in production environments Who this book is for If you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.
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 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.
Generative Ai Fundamentals And Interview Guide
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Author : Navin Manaswi
language : en
Publisher: BFC Publications
Release Date : 2025-01-07
Generative Ai Fundamentals And Interview Guide written by Navin Manaswi and has been published by BFC Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Fiction categories.
"Generative AI Fundamentals and Interview Preparation" is your gateway to mastering the exciting world of Generative AI and Large LanguageModels. A comprehensive guide for IT professionals, data scientists, software engineers, solution architects, and AI researchers, this book covers foundational to advanced Generative AI concepts while preparing you for interviews in this dynamic field. Explore key interview questions, delve into the mechanics of Transformers, BERT, Llama and GPT models, and learn to build cutting-edge LLM applications using Hugging Face. Gain insights into embeddings, vector databases, fine-tuning techniques, basic and advanced RAG, LangChain, LlamaIndex, Multimodal AI and evaluation metrics to master the transformative power of AI
Let S Build Ai With Your Pc Extended Edition
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Author : shivam kumar
language : en
Publisher: visionquantech
Release Date : 2025-10-25
Let S Build Ai With Your Pc Extended Edition written by shivam kumar and has been published by visionquantech this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-25 with Antiques & Collectibles categories.
Step-by-step guide to setting up, training, and deploying AI models on personal computers.
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.
Hugging Face In Action
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Author : Wei-Meng Lee
language : en
Publisher: Simon and Schuster
Release Date : 2025-11-11
Hugging Face In Action written by Wei-Meng Lee 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 2025-11-11 with Computers categories.
Everything you need to know about using the tools, libraries, and models at Hugging Face--from transformers, to RAG, LangChain, and Gradio.Hugging Face is the ultimate resource for machine learning engineers and AI developers.
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
Artificial Intelligence How Does It Work And How To Use It
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Author : Dr Sabry Fattah
language : en
Publisher: Dr Sabry Fattah
Release Date : 2024-03-10
Artificial Intelligence How Does It Work And How To Use It written by Dr Sabry Fattah and has been published by Dr Sabry Fattah this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-10 with Computers categories.
In a world increasingly driven by technological advancements, Artificial Intelligence (AI) has emerged as a game-changer, transforming industries and revolutionizing the way we live and work. This book is a must-read guide that takes you on an exhilarating journey into the realm of AI, unraveling its inner workings and empowering you to leverage its potential. This book is meticulously crafted to provide a holistic understanding of AI, starting with its origins and tracing its evolution through the ages, from its humble beginnings to the cutting-edge technologies of today. Readers wil gain insights into the different types of AI and the fundamental principles that underpin their construction. You will get a comprehensive understanding of the algorithms that power AI systems. Discover the different model types and their specific applications, enabling you to select the most suitable model for your project. The book delves deep into the revolutionary models of Openai, Google and Microsoft, unraveling their capabilities and showcasing real-world use cases. Gain insight into their remarkable abilities and witness practical applications in everyday life. Unlock the power of numerous AI models via Hugging Face – a renowned platform for AI innovation. Learn how to effortlessly integrate API connections and fine-tune essential parameters to maximize AI efficiency. Craft effective prompts to elicit superior results from AI models by perfecting both user inputs and system prompts. Delve into the novel approach of leveraging external sources to enhance AI predictions. Uncover the mystery behind Agents and master their application for optimal AI performance. The book is designed for both non-developers and developers, offering valuable insights and resources for AI projects. It serves as a comprehensive guide for beginners who want to grasp the fundamentals, as well as for seasoned professionals in search of advanced strategies, providing a rich source of knowledge and hands-on advice in the intriguing domain of Artificial Intelligence. This is the second edition of this essential AI guidebook! We've given it a fresh update to align with today's cutting-edge advancements in artificial intelligence (AI). It includes detailed explanations on the latest AI models and sophisticated techniques that will empower you to harness AI effectively.