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    Learning LLM:Understanding the Foundations of Generative AI: Learn How LLMs Work—Not Just How to Use Them

    Posted By: TiranaDok
    Learning LLM:Understanding the Foundations of Generative AI: Learn How LLMs Work—Not Just How to Use Them

    Learning LLM:Understanding the Foundations of Generative AI: Learn How LLMs Work—Not Just How to Use Them by SHO SHIMODA
    English | May 11, 2025 | ISBN: N/A | ASIN: B0F8DBCBFJ | 141 pages | EPUB | 0.30 Mb

    Learning LLM:Understanding the Foundations of Generative AI
    An approachable, practical guide to how large language models (LLMs) like ChatGPT and Claude actually work.
    You’ve used ChatGPT. You’ve heard about “transformers.” But how do large language models really think, generate, and learn—and how can you start working with them?
    This beginner-friendly book explains how LLMs are trained, how they generate human-like language, and how they’re already transforming industries—from software development to customer support.
    Whether you're an engineer, product manager, student, or curious professional, this book will give you the foundational knowledge you need to understand and confidently use modern AI tools.
    What You’ll Learn:
    • How LLMs like GPT and BERT are built and trained
    • What transformers and attention mechanisms actually do—without the math overload
    • How LLMs generate text, answer questions, translate, summarize, and write code
    • How to get started using OpenAI, Hugging Face, Google Cloud, and Azure APIs
    • What risks to watch for (like hallucination or bias) when building AI-powered apps
    Who This Book Is For:
    • Engineers starting with LLMs and AI-backed products
    • Technical leaders who want to speak fluently about AI strategy
    • Students exploring machine learning or NLP careers
    • Curious readers who want to go beyond using AI—and start understanding it
    No PhD required. Just curiosity and a willingness to learn.
    Part of the LLM Master Series
    This is Volume 1 in a practical, no-fluff guide series for working with LLMs. Upcoming titles include:
    • LLMs and Mathematics — A deeper dive into the math behind attention and optimization
    • Programming with LLMs — Hands-on workflows for developers using LLMs in production