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Category: "Artificial Intelligence"

Artificial Intelligence

  1. Architecting Neuro-Symbolic Agents with Python Programming
    Architecting Neuro-Symbolic Agents with Python Programming
    Integrating LLMs, Wolfram Alpha, IBM Watson and Open Source Stacks for Near-Zero Hallucination Systems
    Edgar Milvus

    What You Will Master: The Enterprise Stack: Google Gemini + Wolfram + Watson. The Open Source Stack: Llama 3 + SymPy + ChromaDB (fully offline). The Outcome: Self-healing, near-infallible agents that never lie about data

  2. Erstellen Sie Ihr Erstes Sprachmodell
    Erstellen Sie Ihr Erstes Sprachmodell
    Ein praktischer Leitfaden zu Sprachmodellen
    Hasan Degismez

    Bauen Sie Ihr erstes LLM Schritt für Schritt. Keine Installation, nur Google Colab. Verstehen Sie, warum alles funktioniert, statt nur Code auszuführen.

  3. Создайте свою первую языковую модель
    Создайте свою первую языковую модель
    Практическое руководство по языковым моделям
    Hasan Degismez

    Постройте свою первую LLM шаг за шагом. Никакой установки, только Google Colab. Поймите, почему всё работает, а не просто запустите код.

  4. İlk Dil Modelinizi Oluşturun
    İlk Dil Modelinizi Oluşturun
    Dil Modelleri için Uygulamalı Rehber
    Hasan Degismez

    LLM’leri sıfırdan, adım adım inşa edin. Kodu sadece çalıştırmakla kalmayın; neden çalıştığını da anlayın. Kurulum yok—Colab’da doğrudan ilerleyin.

  5. Build Intelligent Agents
    Build Intelligent Agents
    The Definitive Guide to Agentic AI
    Sushil Khairnar

    The future of AI isn't just about chatbots - it's about agents that think, decide, and act. Learn to build them.

  6. The Architect's Playbook
    The Architect's Playbook
    5 Pillars of Production AI Agent Architecture
    Atef Ataya

    Learn how to build AI agents that actually survive production — with battle-tested patterns for cost control, reliability, and scale.

  7. Using AI in Real Software Teams - Complete Ebook
    Using AI in Real Software Teams - Complete Ebook
    A Spec-Driven Approach to Safe, Scalable Software Development
    Samarth hathwar
    No Description Available
  8. Understanding Agentic AI
    Understanding Agentic AI
    From Basic Data to Autonomous Agents
    Ibrahim Denis Fofanah

    What if AI didn’t just answer questions, but actually did the work? This book takes you from basic AI concepts to autonomous agents that can reason, plan, and act. No hype. No heavy math. Just clear explanations, real examples, and a builder’s mindset.

  9. Product Engineering with AI
    Product Engineering with AI
    A practical guide to product engineering in an AI native era
    Addy Osmani and Hassan Djirdeh

    A practical guide to product engineering in an AI native era, where building shifts from manual construction to steering tools, editors, and agents. Product Engineering with AI covers platforms, agentic workflows, prompting, code quality, UX, and responsible practices for getting from prototype to production. 

  10. PROMPT ALCHEMY
    PROMPT ALCHEMY
    665 Secrets to Stunning AI Art
    Bennix XU

    Unlock the secrets of stunning AI art with 665 tested prompts. Prompt Alchemy is the ultimate visual guide that teaches you not just what to type, but why it works. Stop wasting credits on bad results and transform your imagination into professional-grade masterpieces today.

  11. Build Your First LLM
    Build Your First LLM
    A Hands-On Guide to Language Models
    Hasan Degismez

    Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.

  12. AI Tools for Marketing Success
    AI Tools for Marketing Success
    The 2025 AI Marketing Blueprint: Automate, Scale, & Profit
    Anas Oraby

    Stop wasting time on a manual sewing machine. This is your practical 2025 guide to mastering over 33 AI tools, such as Canva, Jasper, and HubSpot, to boost your marketing and increase your profits.

  13. AI DSL Development
    AI DSL Development
    The Shift From Prompting to Domain Language Engineering
    Geison Goes

    Prompt engineering is dying. The future belongs to domain language engineers—developers who design structured DSLs that make AI reliable, deterministic, and scalable. This practical guide teaches you how to build the languages that shape AI-driven software. With templates, and real-world examples, you'll transform from AI user to AI architect. Stop negotiating with ChatGPT. Start engineering systems that work.

  14. Google's Nested Learning 101
    Google's Nested Learning 101
    A LEGO Superheroes Guide to Smarter AI Thinking
    Adrian Dunkley

    Imagine a group of LEGO superheroes facing missions that require planning in layers. One hero scouts the terrain. Another maps the risks. A third builds the route. All these steps connect. None of them works alone. This is Nested Learning in action.Google uses this layered thinking to help AI break problems into parts, solve those parts in sequence, and combine them into stronger results

  15. The NEED, PROBLEM, SOLUTION Playbook
    The NEED, PROBLEM, SOLUTION Playbook
    How AI became part of my workflow— one real example at a time
    Claudio Lassala

    AI isn’t just for tech people—it’s a practical tool anyone can use to solve real problems. In this short, story-driven book, you’ll discover 10 real ways I’ve used AI in everyday life: planning travel, organizing decades of ideas, rebuilding a passion project, launching a newsletter, prototyping apps in under a minute, navigating a passport crisis, and more. Each chapter follows a simple, human framework:Need → Problem → Solution No jargon. No hype. Just clear examples of how AI can help you think better, save time, and reduce friction in your daily life. If you’re curious about AI but don’t know where to start, this book shows you what’s possible—one small, practical win at a time.