Artículo: AMZ-B0G1J425FL

Ollama & Local AI: A Practical Guide to Self-Hosting, Fine-Tuning, and Deploying Open-Source LLMs for Production

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0.84 kg

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Frustrated by the high costs, slow latency, and data privacy risks of proprietary cloud LLM APIs? This book is the definitive, hands-on guide for AI developers, DevOps engineers, and technical leaders who are ready to take full control of their AI stack. Ollama & Local AI provides a practical, code-driven roadmap to self-hosting, fine-tuning, and deploying powerful open-source models like Llama and Mistral directly on your own hardware. Move beyond simple API consumption, gain absolute data sovereignty, and dramatically reduce your inference costs. This is not a high-level overview; it's a complete production playbook. Inside, you will find the precise, step-by-step instructions to: Master Installation: Set up and manage complete Ollama and LocalAI ecosystems, from simple scripts to production-ready Docker and Kubernetes deployments. Fine-Tune Custom Models: Learn to perform efficient LoRA and QLoRA fine-tuning using modern tools like Unsloth and Axolotl to create models with specialized skills. Optimize and Deploy: Convert, quantize, and merge models into the high-performance GGUF format using llama.cpp workflows for deployment in both Ollama and LocalAI. Build Secure APIs: Architect secure, high-throughput REST APIs for your models using an Nginx reverse proxy for enterprise-grade authentication. Orchestrate Workflows: Integrate your local models into complex LangChain pipelines to build powerful applications like Retrieval-Augmented Generation (RAG). Troubleshoot Like a Pro: Diagnose and solve common pitfalls in VRAM management, CUDA conflicts, and performance bottlenecks. Stop renting your AI. Build, deploy, and own your high-performance LLM infrastructure today.

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Ollama & Local AI: A Practical Guide to Self-Hosting, Fine-Tuning, and Deploying Open-Source LLMs for Production

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Building Ollama and MCP Servers from Scratch: The Complete Developer’s Guide to Design and Deploy Custom LLM Agents with Local Models, Structured Context, and Production-Grade MCP Pipelines

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Ollama & Local AI: A Practical Guide to Self-Hosting, Fine-Tuning, and Deploying Open-Source LLMs for Production

Otros Productos

OLLAMA FOR DEVELOPERS: A HANDS-ON GUIDE TO BUILDING SMART LOCAL LLM APPS, AI AGENTS, AND DEVELOPER TOOLS

The Ollama Blueprint

Build LLM Applications with Python, Ollama, LangChain, and Gradio: A HANDS-ON GUIDE

Building Ollama and MCP Servers from Scratch: The Complete Developer’s Guide to Design and Deploy Custom LLM Agents with Local Models, Structured Context, and Production-Grade MCP Pipelines

The Local LLM Handbook: Ollama vs Llama.cpp for Engineers

AGENTIC AI WITH OLLAMA: The Complete Guide to Building Private, Autonomous AI Systems

Building Local AI Agents in .NET with Ollama + Grok + Microsoft's New Agent Framework: A Hands-On Guide to Creating Fast, Private, and Observable AI Workflows for Real-World Automation

CrewAI with Ollama: Practical AI Agents, Automation Workflows, and Real-World Deployments

CrewAI with Ollama: Build Autonomous AI Agents and Workflows Using Local LLMs

AI Inference with Ollama, llama.cpp, and vLLM

OLLAMA FOR ENTREPRENEURS AND MAKERS: PRACTICAL NO-CODE PROJECTS TO AUTOMATE YOUR BUSINESS, BOOST EFFICIENCY, SAVE COSTS, WORK SMARTER, AND PROTECT YOUR DATA

Running LLMs Locally with Ollama: Privacy, Performance, and Customization

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