{"product_id":"inside-the-ai-machine-real-world-projects-using-generative-agentic-ai-9798297853256","title":"Inside the AI Machine: Real-world projects Using Generative \u0026 Agentic AI","description":"\u003cp\u003e • Author(s): Muni A\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eInside the AI Machine is your hands-on, plain-English guide to understanding and building real-world AI systems using the latest in large language models (LLMs), agentic frameworks, and tool integrations. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWhether you're a developer, student, researcher, or tech enthusiast, this book walks you through how LLMs really work, how they're trained, how they generate responses, and how you can use them to create powerful applications that think, reason, and act. \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003ci\u003eAll project code is available on GitHub, with direct links provided in the book.\u003c\/i\u003e\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eChapter 1: Under the Hood - The Architecture of Large Language Models\u003c\/b\u003e\u003cbr\u003eExplore transformer architectures, embeddings, attention mechanisms, and tokenization-explained clearly with diagrams and analogies. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 2: Training a Giant - Data, Compute, and the Lifecycle of a Model\u003c\/b\u003e\u003cbr\u003eUnderstand how LLMs are trained: datasets, compute requirements, pretraining vs. fine-tuning, and why alignment is critical. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 3: Fine-Tuning and Prompt-Tuning - Making AI Work for You\u003c\/b\u003e\u003cbr\u003eDiscover the difference between few-shot prompting, fine-tuning, LoRA, and prompt engineering-and when to use each one. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 4: From Prompt to Response - How AI Decides What to Say\u003c\/b\u003e\u003cbr\u003eBreak down the token-by-token generation process, decoding strategies (greedy, top-k, top-p, beam search), and biases in outputs. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 5: Architecting Agentic Systems with real time projects\u003c\/b\u003e\u003cbr\u003eDesign blueprints for building agent-based AI using tools like LangChain, AutoGPT, CrewAI, or OpenAI functions + memory chains. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 6: The Toolbelt - Plugging AI into Real-World Tools - with Real Time projects\u003c\/b\u003e\u003cbr\u003eExplore how agents interact with APIs, browsers, databases, email, files, and even IoT devices through tool integration. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 7: Real-World AI Projects - Case Studies in Action\u003c\/b\u003e\u003cbr\u003eDive into several case studies: AI customer support agents, automated research assistants, creative AI co-pilots, and business workflow bots. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 8: Multi-Agent Systems - When AIs Collaborate - With Real Time projects\u003c\/b\u003e\u003cbr\u003eLearn how autonomous agents can coordinate with each other to solve complex problems (e.g., using crew or swarm models). \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 9: Building Your First AI Agent - A Hands-On Guide\u003c\/b\u003e\u003cbr\u003eA step-by-step guide using open-source tools (Python + LangChain + OpenAI API or local models) to build a basic autonomous agent. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 10: Guardrails, Ethics, and Trust\u003c\/b\u003e\u003cbr\u003eGo deeper into alignment techniques, AI hallucinations, red-teaming, ethical constraints, and how to make AI safer and more responsible. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 11: Future Frontiers - Where AI Is Heading Next\u003c\/b\u003e\u003cbr\u003eExplore concepts like self-improving agents, lifelong learning, embedded memory, open-ended task planning, and general autonomy. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 12: How to Install Python\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eChapter 13: Python Basics and Real Time projects\u003c\/b\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333727998103,"sku":"9798297853256","price":1093.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798297853256.webp?v=1768670353","url":"https:\/\/atlanticbooks.com\/products\/inside-the-ai-machine-real-world-projects-using-generative-agentic-ai-9798297853256","provider":"Atlantic Books","version":"1.0","type":"link"}