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    BUILD YOUR ARTIFICIAL INTELLIGENCE: Program, Instruct, and Train AI Assistants with Python, LLMs, RAG, Agents, Ollama

    Posted By: naag
    BUILD YOUR ARTIFICIAL INTELLIGENCE: Program, Instruct, and Train AI Assistants with Python, LLMs, RAG, Agents, Ollama

    BUILD YOUR ARTIFICIAL INTELLIGENCE: Program, Instruct, and Train AI Assistants with Python, LLMs, RAG, Agents, Ollama, and LoRA (Informatica Book 2)
    English | September 28, 2026 | ASIN: B0HLBSYDYX | 577 pages | Epub | 1.16 MB


    Build your own AI assistant instead of simply using someone else’s.Artificial intelligence is no longer just a technology of the future. Today, it is a practical tool that can be programmed, customized, connected to private knowledge, equipped with memory, and given controlled access to real tools.Build Your Artificial Intelligence is a practical, step-by-step guide to designing and developing a complete AI assistant using Python and modern language models.Starting from the foundations, you will learn how LLMs work, how to write effective system instructions, manage context and memory, build RAG pipelines, use embeddings and vector databases, connect external tools through function calling, run local models with Ollama, and design reliable AI agents.You will also explore the techniques used to specialize models through fine-tuning, PEFT, LoRA, and QLoRA, including dataset preparation, training, evaluation, and the limitations of consumer hardware.The book culminates in the development of NOVA, a complete modular AI assistant capable of combining:• interchangeable cloud and local LLMs• persistent memory• private document knowledge bases• semantic search and RAG• tool calling and controlled automation• local offline operation• agent workflows• security policies and permissions• testing, logging, APIs, and deploymentThe book includes practical Python examples, guided exercises, troubleshooting sections, reusable templates, cheat sheets, and real project ideas.It is written for readers who want to move beyond simple prompting and understand how modern AI systems are actually designed, programmed, instructed, specialized, and deployed.No advanced AI background is required: concepts are introduced progressively, while experienced developers will find a structured architecture that can be extended into professional projects.
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