Ollama in Practice: A Hands-On Guide to Running AI Models Locally and Building LLM Applications
English | October 5, 2026 | ASIN: B0HM2HS5WG | 611 pages | Epub | 35.87 MB
Learn Ollama and Build with Local AILarge language models are no longer limited to cloud-based services. With the right tools, developers can run capable AI models directly on their own computers and integrate them into applications and development workflows.Ollama in Practice: A Hands-On Guide to Running AI Models Locally and Building LLM Applications introduces Ollama through a practical, progressive approach. The book begins with the fundamentals and gradually moves toward application development and more advanced local AI workflows.You will start by understanding what Ollama is, how local large language models work, and how to install and configure Ollama on your computer. From there, you will learn how to download and manage models, write effective prompts, configure model behavior, and create customized models using Modelfiles.The book then moves beyond the command line into application development. You will explore the Ollama API and learn how applications can communicate with local language models. Practical integrations with Python and JavaScript demonstrate how Ollama can become part of your own software projects.As you progress, the book introduces important concepts used in modern LLM applications, including embeddings, semantic search, document processing, and Retrieval-Augmented Generation. These concepts are connected together to demonstrate how local AI applications can work with your own information and documents.The later chapters explore practical projects, performance considerations, security, troubleshooting, deployment concepts, and best practices for developing local AI applications.Inside the BookIntroduction to Ollama and local LLMsInstallation and configurationRunning and managing modelsUnderstanding model sizes and quantizationPrompt engineering fundamentalsModel configurationModelfiles and custom modelsOllama API fundamentalsPython integrationJavaScript integrationLocal AI chat applicationsDocument processingEmbeddings and semantic searchRetrieval-Augmented GenerationTool calling and structured outputsStreaming responsesHardware and performance considerationsPractical local AI projectsSecurity and troubleshootingDeployment and development best practicesWho This Book Is ForThis book is suitable for developers, programmers, students, technical learners, and AI enthusiasts who want to understand Ollama and explore local large language model development.You do not need to be an AI researcher to follow the material. The concepts are introduced progressively, with practical explanations and examples designed to help readers understand not only what Ollama can do, but also how and why it can be used in real applications.If you want to experiment with local LLMs, develop AI-powered applications, or understand the practical foundations of Ollama-based development, this book provides a structured starting point.
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