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Category: "Artificial Intelligence"

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  1. A CENSURA INVISÍVEL NAS DEMOCRACIAS MODERNAS
    A CENSURA INVISÍVEL NAS DEMOCRACIAS MODERNAS
    Uma análise profunda sobre o fenômeno crescente que molda narrativas e silencia vozes dissidentes de forma sutil.
    Higor Nobre

    Com 39 páginas de conteúdo rico e bem estruturado, o livro explora como governos, corporações e até instituições educacionais exercem controle invisível sobre a narrativa pública, afetando diretamente o debate democrático. Este livro não apenas expõe as barreiras silenciosas da censura, mas também oferece estratégias práticas para refletir e superar esses obstáculos.

  2. Mastering LLM Security
    Mastering LLM Security
    Defending Enterprise AI Systems Against Prompt Injection, Jailbreak Attacks, Model Inversion, and Adversarial Exploits
    Aurobinda Ojha

    Artificial Intelligence is transforming the world—but it is also creating an entirely new attack surface.What happens when attackers manipulate AI through language itself?Discover how cybercriminals exploit prompt injections, jailbreak models, steal sensitive information, and bypass AI guardrails. Through real-world examples, hands-on labs, secure coding techniques, and enterprise-ready architectures, Mastering LLM Security equips you with the knowledge needed to defend the next generation of intelligent systems.Whether you are building AI products, securing enterprise deployments, or leading cybersecurity programs, this book provides the blueprint for defending modern AI infrastructures.

  3. Claude Code for Developer Experience
    Claude Code for Developer Experience
    How to use Claude Code to improve developer experience - with data, not hype
    Artem Mukhin

    Not another AI coding tutorial. A DX engineering book on using Claude Code to reduce developer friction - backed by METR, DORA, and Faros AI data. Processes first, then tools. 80% deterministic, 20% AI.

  4. A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples)

    Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.

  5. Simplifying Machine Learning with PyCaret
    Simplifying Machine Learning with PyCaret
    A Low-code Approach for Beginners and Experts!
    Giannis Tolios

    A beginner-friendly introduction to machine learning with Python, that is based on the PyCaret and Streamlit libraries. Readers will delve into the fascinating world of artificial intelligence, by easily training and deploying their ML models!

  6. Architecture Is The Control
    Architecture Is The Control
    An AI Product Security Field Manual: From Prompt to Operating Model
    Codrut Andrei

    Securing AI requires a system-level approach across models, data, identities, tools, infrastructure, and execution paths. This book shows how to apply Product Security and Secure SDLC principles to AI-enabled products, from RAG and agents to MCP, evaluations, supply chain risk, runtime controls, and governance, while building the fundamentals needed for a practical AI Product Security operating model.

  7. AI-Assisted Development
    AI-Assisted Development
    Working With Coding Agents
    Yohan J. Rodríguez

    A working engineer's guide to building and maintaining production software with autonomous terminal coding agents (382 manuscript pages).

  8. Self-Healing Infrastructure: Building Autonomous Cloud Systems with AI

    Most writing about AI and infrastructure stops at the demo. This book starts on the day the model is confidently wrong at 3 a.m. and an auditor asks who authorised the action it took. Seven working labs — MCP servers with real identity and audit, closed-loop remediation behind a reversibility gate, and autonomy that can be revoked — for platform engineers in safety-critical and regulated industries.

  9. Force-Information-Time
    Force-Information-Time
    A structural framework for understanding how complex systems evolve through force, information, time, and constraint
    Qien Huang

    From quantum and molecules to cells, individuals, organizations, nations, and civilizations—why do clearly defined hierarchical structures emerge? Why does evolution often manifest as a repeating rhythm of "oscillation—stability—aggregation—re-stability"? Why do many systems fail not because of insufficient power or lack of information, but because the "pace of doing things" is wrong?

  10. Vibe to First Sale: Vibecoding a Lean AI Business from $0 to $29

    Turn AI into leverage, engineer your first $29 sale, and prove your business is real - in days, not months.

  11. Windows 11 QuickStart
    Windows 11 QuickStart
    A Complete Visual Reference Guide For Beginners, Students & Seniors
    Anand Narayanaswamy

    Windows 11 QuickStart provides a detailed overview of all the core features of Windows 11 in a simple style and language. The book will serve as a perfect study material for beginners, students & senior citizens. The book includes 300+ pages of content with colored screenshots. The latest update includes Windows Copilot coverage.

  12. LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
    LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
    Using local models using Ollama andHugging Face. Notes provided for switching to commercial inference providers like OpenAI, Anthropic, Google, etc.
    Mark Watson

    Running LLMs with your own data allows you to quickly build personalized applications.

  13. A Lisp Programmer Living in Python-Land: The Hy Programming Language
    A Lisp Programmer Living in Python-Land: The Hy Programming Language
    Use Hy with Large Language Models, Semantic Web, Web Scraping, Web Search, Knowledge Graphs.
    Mark Watson

    All examples in Hy. The Hy language (Lisp that compiles to Python) allows Lisp programmers access to the rich Python ecosystem for Large Language Models, deep learning, artificial intelligence, and general data wrangling. Applications: LangChain, Knowledge Graphs, NLP, Deep Learning.

  14. Life and AI
    Life and AI
    Understanding Intelligence in Biology and Models
    Victor Jaravine

    Life and AI are made of different stuff, yet they face many of the same problems. This book sets their solutions side by side, from the first cells to today's language models, to understand both.

  15. Practical Work Delivery with Multiple AIs
    Practical Work Delivery with Multiple AIs
    A step-by-step method for research, presentations and everyday work
    William Lee

    Plan the work, produce a useful result, check it with another AI, and improve it within clear limits. Practical examples for research, presentations and software.