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Category: "AI Game Production"

AI Game Production

  1. Vectored Conversational AI Testing
    Vectored Conversational AI Testing
    Structuring Free-Flowing Dialogue Into Measurable AI Behaviour
    William Argo

    “If real users rarely stop at a single prompt, then testing shouldn’t either.” 

  2. The Hyper-Drive Algorithms ​From Raw Python Formulas to High-Performance GPU & Machine Code
    The Hyper-Drive Algorithms ​From Raw Python Formulas to High-Performance GPU & Machine Code
    From Raw Python Formulas to High-Performance GPU & Machine Code
    AhmedAdawy

    Make your Python AI code up to 100× faster using NumPy vectorization, Numba, parallel execution, and GPU acceleration. Learn through practical benchmarks and real-world optimization examples.

  3. AI for Game Development & Interactive Simulation. Using LLMs and generative AI to create dynamic worlds and intelligent characters in Unity
    No Description Available
  4. The Prompt Injection Bible
    The Prompt Injection Bible
    Attacks, Defenses, and the Architecture of Trust in LLM Systems
    Ismail Tasdelen

    Prompt injection is the SQL injection of the AI era — and most LLM apps are wide open. This hands-on field manual shows application security engineers how to attack and defend LLM systems: direct, indirect, multimodal, and agentic injection, with working code, labs, and ASR benchmarks you can run in CI. Break it, then build the defense-in-depth that holds in production.

  5. THE ARCHITECTURE OF THOUGHT Applied Mathematics in Large Language Models & GenAI
    THE ARCHITECTURE OF THOUGHT Applied Mathematics in Large Language Models & GenAI
    Applied mathematics in large language Models &GenAI
    AhmedAdawy

    Move beyond the API. Dismantle the AI black box and build generative engines from scratch with pure Python and NumPy. Master the profound geometric principles and applied mathematics driving LLMs and Transformers. Transform from a mere consumer into an elite AI innovator by writing the core mathematical architecture yourself—no shortcuts, no frameworks, just pure engineering excellence.

  6. الذكاء الاصطناعي للأطفال: رحلة زيد وميم نحو المستقبل
    الذكاء الاصطناعي للأطفال: رحلة زيد وميم نحو المستقبل
    الذكاء الاصطناعي للأطفال: قصص تعليمية ممتعة تشرح التكنولوجيا للصغار
    Hossam Ali AbdElwahab

    أول كتاب عربي مصوّر يأخذ طفلك في رحلة شيقة مع زيد والروبوت ميم لاكتشاف عالم الذكاء الاصطناعي بطريقة قصصية ممتعة.

  7. AI IN DEVOPS
    AI IN DEVOPS
    Building Self-Healing, Self-Reviewing, Self-Scaling Systems
    Sudhanshu Jaiswal

    Your DevOps pipeline is broken. PRs rot in review. Alerts scream into the void. Incidents drag on for hours. And capacity planning? A guessing game with your budget on the line.AI in DevOps isn’t about hype—it’s about fixing what’s actually broken. This book gives you: LLM-powered code reviews Intelligent alerting Auto-remediation Predictive scaling

  8. The Codex Playbook
    The Codex Playbook
    Enterprise AI Software Engineering with Codex
    Igor van der Burgh

    The Codex Playbook helps enterprise engineering teams turn Codex from a helpful assistant into a reliable part of the software delivery system, with practical patterns for context engineering, repositories, GitHub workflows, MCP, governance, and AI-assisted development.

  9. AIエージェントセキュリティ・フィールドマニュアル
    AIエージェントセキュリティ・フィールドマニュアル
    自律システムの脅威・コントロール・検証可能な保証
    Shugo Nozaki

    脅威 → コントロール → 要件 → 検証。AIエージェントを出荷する前に読むフィールドマニュアル。

  10. Trust Graph Intelligence: Securing Machine Identities at Scale

    Machine identities outnumber humans 82:1 in modern cloud environments. Every IAM role, every OIDC federation from your CI/CD pipeline, every service account — they accumulate silently. No one monitors them. No one audits them. Each one is a potential entry point for attackers. This book shows you how to build the platform that makes them visible.

  11. LLM Quantization Recipes
    LLM Quantization Recipes
    A Practical Guide to Compressing Large Language Models Without Losing Their Intelligence
    Steve Publications

    LLMs are too big for single GPUs, but quantization fixes that. This book cuts through the hype to show you how to actually compress models using GPTQ, AWQ, GGUF, and NF4 without losing quality. You get real benchmarks, working code, and a clear way to pick the right tool for your hardware. Stop guessing and start deploying efficient models today.

  12. Building AI Search Systems
    Building AI Search Systems
    A Practical Guide to Production-Ready AI Search & Analytics Pipelines in Python
    D. W. Collins

    Build production-ready AI applications from first principles. Using Querybase as a practical case study, this book teaches Python, software architecture, retrieval, and deterministic AI pipelines. Learn to design maintainable, scalable systems without relying on framework magic or black-box abstractions.

  13. GPU Parallel Processing for Massive Document Collections
    No Description Available
  14. Outlast the Tools
    Outlast the Tools
    A Game Producer's Field Guide to AI
    Rob Sandberg

    Game producers already have most of what AI collaboration requires. They have been managing context, decomposing work, and evaluating output for years. This book is the map from where they are to where the work is going.