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Category: "Large language models"

Books

  1. Loop Engineering: The Science of AI Agents
    Loop Engineering: The Science of AI Agents
    Designing Reliable, Self-Correcting AI Systems That Think Before They Act
    Steve Publications

    AI agents are only as good as the loops behind them. This book shows you how to build systems that plan, act, evaluate and improve with every step. Learn the patterns, frameworks and engineering practices behind reliable, self-correcting agents that solve real problems in production.

  2. Building AI Agents with Ollama
    Building AI Agents with Ollama
    Design, Deploy, and Scale Reliable Local AI Systems
    Steve Publications

    Build powerful AI agents that run entirely on your own hardware with Ollama. Learn practical patterns for RAG, multi-agent systems, security and deployment through clear explanations and production-ready code you can use right away. From first setup to reliable real-world applications, this book helps you build with confidence.

  3. Coffee Break AI
    Coffee Break AI
    Understand How Artificial Intelligence Really Works - One Short Chapter at a Time
    Finxter

    Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.

  4. Context Engineering
    Context Engineering
    Designing Intelligent Systems with Large Language Models
    Steve Publications

    Go beyond prompts and learn how to build AI systems that hold up in production. This book shows how to make context the foundation of reliable LLM applications, covering practical patterns, real trade-offs and proven engineering techniques with clear examples you can put to work right away.

  5. Measuring the Mind of Machines
    Measuring the Mind of Machines
    A Comprehensive Guide to AI Model Benchmarking
    Steve Publications

    The future of AI depends on how we measure it. This book cuts through the hype to show what benchmarks really tell us, where they fall short and why better evaluation leads to better models. Practical, clear and grounded in real-world experience, it is an essential guide for anyone building, studying or deploying modern AI.

  6. NVIDIA DGX Spark: The Complete AI Development and Deployment Platform
    NVIDIA DGX Spark: The Complete AI Development and Deployment Platform
    From Hardware Architecture to Production LLMs, RAG Systems, Agents, and Enterprise AI
    Steve Publications

    Build serious AI systems on NVIDIA DGX Spark with a practical guide that goes far beyond setup. Learn to deploy LLMs, create RAG pipelines, orchestrate AI agents, and optimize performance for real production workloads. Whether you are experimenting or scaling enterprise AI, this book shows you how to get there.

  7. AI for Financial Risk, Compliance and Regulatory Reporting
    AI for Financial Risk, Compliance and Regulatory Reporting
    Production Systems and Architecture for Modern Banking
    Sreedhara Reddy Kotha

    A £4.1M PRA compliance failure. A fictional bank called Avon & Wessex. Sixteen chapters and 23 systems showing exactly how to build production-grade, auditable AI for credit, market, operational and liquidity risk, model governance, and regulatory reporting — the practitioner's guide UK banking has been missing.

  8. The Claude Opus 5 Prompt Guide
    The Claude Opus 5 Prompt Guide
    The Definitive Reference for Mastering Anthropic's Most Capable Model
    Steve Publications

    Discover how to unlock the full potential of Claude Opus 5 with a practical guide built on Anthropic's official documentation and proven best practices. From writing your first effective prompt to designing sophisticated agentic workflows and production-ready systems this book gives you the techniques, patterns and insights needed to achieve more accurate, reliable and consistent results.

  9. Beyond "Ship and Pray"
    Beyond "Ship and Pray"
    Testing Agentic Systems with Geometric Ground Truth
    Agus Sudjianto and Wing Yan Lau

    An agent can score well on average and still fail exactly where it matters. Beyond “Ship and Pray” shows how to replace benchmark averages with designed experiments, geometric ground truth and failure attribution—so teams can discover when an agent breaks, identify the responsible component and test whether it fails safely under tool faults.

  10. Beyond "Chunk and Pray"
    Beyond "Chunk and Pray"
    Building Trustworthy RAG with Geometric Knowledge Graphs
    Agus Sudjianto and Wing Yan Lau

    Top-k is not relevance, retrieved text is not evidence and an LLM judging another LLM is not verification. Beyond “Chunk and Pray” shows how to build RAG that answers through a verified knowledge graph, preserves exact numbers, cites its sources and abstains when it cannot prove the answer.

  11. Computer Use Agents: A Practical Guide to Building AI That Controls Your Desktop
    Computer Use Agents: A Practical Guide to Building AI That Controls Your Desktop
    From First Prototype to Production-Ready Systems
    Steve Publications

    Build AI agents that can see screens, reason about tasks and control desktop applications and web browsers. Starting with a simple prototype, you'll learn how to create reliable production-ready systems that do real work on a computer.

  12. Model Context Protocol (MCP) & Computer Use. Standardizing Tool Integration, Vision-Driven Browser Automation, and Agent Governance in TypeScript
    No Description Available
  13. Kimi K3 Prompting Guide
    Kimi K3 Prompting Guide
    Master Prompt Engineering for Moonshot AI's 2.8T-Parameter Frontier Model
    Steve Publications

    Unlock the full potential of Moonshot AI's groundbreaking Kimi K3 with practical prompting techniques, real-world examples and production-ready strategies. Whether you are building AI applications, conducting research or deploying autonomous agents, this guide helps you get better results from one of the world's most capable open models.

  14. Local AI Search Engine
    Local AI Search Engine
    Building Intelligent Document Retrieval Systems from Scratch
    Steve Publications

    Learn how to build a fast, private AI search engine that indexes and retrieves documents using modern open-source tools. From a simple prototype to a production-ready system, you will create intelligent local search that runs entirely on your own hardware.

  15. ENTERPRISE AI ARCHITECTURE AND THE MODERN AI STACK
    ENTERPRISE AI ARCHITECTURE AND THE MODERN AI STACK
    VOLUME II — RUNNING THE STACK
    Padmanabham Venkiteela

    Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.