{"product_id":"a-beginner-s-guide-to-generative-ai","title":"A Beginner’s Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs by Deepshikha Bhati, Fnu Neha, Angela Guercio, Md Amiruzzaman, Aloysius Bathi Kasturiarachi","description":"\u003ch2\u003eA Beginner’s Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs by Deepshikha Bhati, Fnu Neha, Angela Guercio, Md Amiruzzaman, Aloysius Bathi Kasturiarachi\u003c\/h2\u003e\n\u003cp data-path-to-node=\"6\"\u003eThe core philosophy of \u003ci data-path-to-node=\"6\" data-index-in-node=\"23\"\u003eA Beginner's Guide to Generative AI\u003c\/i\u003e is that \u003cb data-path-to-node=\"6\" data-index-in-node=\"67\"\u003eunderstanding modern AI requires trace-level evolutionary context, not just simple interface prompting.\u003c\/b\u003e The authors address a critical gap in contemporary tech education: while many entry-level guides focus exclusively on writing prompts inside a web browser, and advanced manuals jump straight into deep vector matrices, beginners are left without a firm grasp of underlying model mechanics. This textbook demystifies the technology by breaking down exactly how machines learn to generate coherent text and pixels, treating generative AI as a natural progression of neural networks.\u003c\/p\u003e\n\u003cp data-path-to-node=\"7\"\u003eRather than limiting the discussion to a single tool or company, the book provides a sweeping overview of the modern generative spectrum. It takes readers from early probabilistic language approaches (like n-grams) up through \u003cb data-path-to-node=\"7\" data-index-in-node=\"226\"\u003eTransformers\u003c\/b\u003e, the multi-layered \u003cb data-path-to-node=\"7\" data-index-in-node=\"258\"\u003eChatGPT architecture\u003c\/b\u003e, \u003cb data-path-to-node=\"7\" data-index-in-node=\"280\"\u003eGoogle's Gemini ecosystem\u003c\/b\u003e, and deep \u003cb data-path-to-node=\"7\" data-index-in-node=\"316\"\u003eDiffusion Models\u003c\/b\u003e for visual processing. By pairing clear architectural breakdowns with real-world industry case studies across healthcare, legal technology, and business analytics, the authors ensure readers build a solid conceptual foundation capable of adapting to rapid industry shifts.\u003c\/p\u003e\n\u003cp data-path-to-node=\"7\"\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c\/p\u003e\n\u003cdiv class=\"code-block ng-tns-c3878679226-107 ng-animate-disabled ng-trigger ng-trigger-codeBlockRevealAnimation\" data-hveid=\"0\" data-ved=\"0CAAQhtANahgKEwjP-v3438mUAxUAAAAAHQAAAAAQngM\"\u003e\n\u003c!----\u003e\n\u003cdiv class=\"formatted-code-block-internal-container ng-tns-c3878679226-107\"\u003e\n\u003cdiv class=\"animated-opacity ng-tns-c3878679226-107\"\u003e\n\u003c!----\u003e\n\u003cp data-path-to-node=\"29\"\u003eAs our regional universities, computing academies, and tech upskilling centers scramble to update their computer science curricula for an increasingly automated market, students are facing a difficult training gap. While there is plenty of online material, it tends to split into two extremes: trivial clickbait tutorials that teach very little, or intense research papers packed with advanced multivariable calculus that overwhelm newcomers.\u003c\/p\u003e\n\u003cp data-path-to-node=\"30\"\u003e\u003ci data-path-to-node=\"30\" data-index-in-node=\"0\"\u003eA Beginner's Guide to Generative AI\u003c\/i\u003e provides the exact structural bridge our academic programs need. Deepshikha Bhati and her co-authors balance academic rigor with welcoming clarity. By breaking down the complex mechanics of LLMs, ChatGPT, and image generation into clear, manageable concepts, this Springer text gives students, junior developers, and tech managers the precise conceptual framework required to confidently enter the field of AI engineering. It is an indispensable guide for any modern technical classroom.\u003cspan\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eLanguage: English.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGenre: Foundational Computer Science..\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBinding: সেলাই করা বাইন্ডিং\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eQuality: Premium Quality Books.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePrinting: High Quality Printing.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePaper: Eye Friendly paper (Cream White)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eCover: Matt cover (Paperback).\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Royal Books BD","offers":[{"title":"Default Title","offer_id":47231769411769,"sku":null,"price":250.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0780\/0874\/6169\/files\/A_Beginner_s_Guide_to_Generative_AI.jpg?v=1779350925","url":"https:\/\/royalbooksbd.com\/products\/a-beginner-s-guide-to-generative-ai","provider":"Royal Books BD","version":"1.0","type":"link"}