Max reedwell (41 Ergebnisse)
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Paperback. Zustand: new. Paperback. Frustrated by the high costs, slow latency, and data privacy risks of proprietary cloud LLM APIs? This book is the definitive, hands-on guide for AI developers, DevOps engineers, and technical leaders who are ready to take full control of their AI stack. Ollama & Local AI provides a practical,… code-driven roadmap to self-hosting, fine-tuning, and deploying powerful open-source models like Llama and Mistral directly on your own hardware. Move beyond simple API consumption, gain absolute data sovereignty, and dramatically reduce your inference costs.This is not a high-level overview; it's a complete production playbook. Inside, you will find the precise, step-by-step instructions to: Master Installation: Set up and manage complete Ollama and LocalAI ecosystems, from simple scripts to production-ready Docker and Kubernetes deployments.Fine-Tune Custom Models: Learn to perform efficient LoRA and QLoRA fine-tuning using modern tools like Unsloth and Axolotl to create models with specialized skills.Optimize and Deploy: Convert, quantize, and merge models into the high-performance GGUF format using llama.cpp workflows for deployment in both Ollama and LocalAI.Build Secure APIs: Architect secure, high-throughput REST APIs for your models using an Nginx reverse proxy for enterprise-grade authentication.Orchestrate Workflows: Integrate your local models into complex LangChain pipelines to build powerful applications like Retrieval-Augmented Generation (RAG).Troubleshoot Like a Pro: Diagnose and solve common pitfalls in VRAM management, CUDA conflicts, and performance bottlenecks.Stop renting your AI. Build, deploy, and own your high-performance LLM infrastructure today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. The first wave of AI-assisted coding is over. Tools like GitHub Copilot made us faster typists, but they've hit a ceiling. We are still "AI snippet managers," stuck with the full cognitive load of our project's architecture. The AI suggests a line, but it can't reason about the entire system.T…his book is about the second revolution: the shift from AI-assisted to agent-driven development.Cursor 2.0 is the first IDE built for this new era. It's not a plugin; it's an AI-first collaborator designed to understand your entire repository, deploy teams of AI agents, and help you build, test, and secure code at a project-wide scale.But using Cursor like a super-charged VS Code is like using a smartphone only to make calls-you're missing 99% of its power. To unlock its true potential, you must change your mindset. You must learn to direct AI, not just prompt it.Cursor 2.0 in Action is not a theoretical manual; it is a hands-on, practical playbook for the working developer. We don't just look at features; we implement solutions.Inside, you will master the playbooks to: Reason Across Your Entire Codebase: Use at to ask architectural questions, find dependencies, and instantly understand legacy projects.Execute Large-Scale Refactoring: Confidently migrate frameworks (e.g., Express to Fastify) or modernize legacy code (callbacks to async/await) in a fraction of the time.Implement Full-Stack Features from a Spec: Go from a one-page "spec sheet" to a fully scaffolded feature-database schema, API, and UI-in a single operation.Master Multi-Agent Orchestration: Deploy a "team" of AI agents to solve a complex problem in parallel, then review their competing, sandboxed solutions.Perform AI-Driven Security Audits: Use agents as "security reviewers" to find and fix critical vulnerabilities like SQL Injection, XSS, and Prompt Injection before they ever hit production.Engineer Advanced Prompts: Go beyond simple questions and master structured templates like "Role, Context, Task, Format" and "Tests-First" prompting to get predictable, high-quality results.This book is for the professional developer, solutions architect, or engineering manager who recognizes that the barrier to entry is no longer can it be built, but how fast and how securely it can be built.Stop being a coder. Start being an orchestrator. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. The prototype phase is over. Your organization doesn't need another chatbot that writes poetry; it needs an intelligent agent that can query databases, analyze 500-page contracts, and execute complex workflows without hallucinating or leaking data.Anthropic Claude for the Enterprise is the fie…ld manual for senior engineers and architects who are done with "vibes-based" AI. This isn't a collection of clever prompts; it is a blueprint for building the nervous system of a modern enterprise. You will learn to leverage the Model Context Protocol (MCP) and Claude 4.5 to construct secure, deterministic agentic systems that survive the rigors of production traffic.From managing the economics of the 200k+ token window to deploying containerized tools, this book strips away the hype to focus on the hard engineering required to make Large Language Models (LLMs) safe and useful.Inside, you will discover how to: Master the Model Context Protocol (MCP): Stop writing brittle glue code. Build standardized, secure servers that connect Claude to your internal databases, Slack workspaces, and GitHub repos without rewriting the wheel.Engineer "Extended Thinking" Programmatically control Claude 4.5's reasoning budget to force planning, self-correction, and citation enforcement before a single line of code is written.Scale Context Economically: Implement context caching strategies to process massive technical manuals and logs while slashing latency and token costs by 90%.Implement "Human-in-the-Loop" Brakes: Design middleware that intercepts high-risk tool calls-like database deletions-and automatically pauses execution for human approval.Deploy with Confidence: Move from localhost to production with battle-tested patterns for Dockerizing MCP servers, tracing agent "thoughts" with observability tools, and enforcing hard cost limits. Stop renting intelligence and start engineering it. Secure your copy today and build the agents your enterprise can actually trust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Stop Copy-Pasting Code. Start Architecting Intelligence.For years, the workflow has been broken. You leave your terminal, open a browser, paste a stack trace into a chatbot, wait, copy the code, paste it back, and pray it works. The power of Generative AI was trapped behind a chat window-until… now.The Gemini CLI (gcli) changes the game. It is not just a chatbot in your shell; it is a fully autonomous agent with "hands" to edit files, "eyes" to search the web, and the reasoning power to execute complex, multi-step workflows on your behalf.The Gemini CLI: A Practitioner's Guide is the definitive handbook for developers, DevOps engineers, and data scientists who want to move beyond simple prompts and build agentic networks that understand their code, automate their drudgery, and secure their workflows.In this practical guide, you will learn how to: Master the "Reason and Act" (ReAct) Loop: Understand how agents break down complex goals into actionable plans, executing shell commands and file operations autonomously."Ask Your Codebase" (1 Million+ Tokens): Learn strategies to load entire repositories into context, enabling you to trace features across files, generate architectural diagrams, and perform semantic refactoring in minutes.Automate the Boring Stuff: Build intelligent Git Pre-Commit Hooks that review your code for security flaws before you push, and create Daily Research Agents that scour the web and write briefings while you sleep.Customize Your Agent: Use the GEMINI.md context file to enforce project-specific personas, style guides, and "Do Not" rules that ensure every line of code matches your team's standards.Extend Capabilities with MCP: Dive deep into the Model Context Protocol to build secure, custom tools that let your AI interact with private GitHub repos, Jira tickets, and production databases.Secure Your Workflow: Master the "Human-in-the-Loop" security model to prevent Prompt Injection and Data Exfiltration risks while giving your agent the power to work freely.Who This Book Is ForThis is is for practitioners-software engineers who live in Bash or PowerShell and want to integrate world-class reasoning engines directly into their scripts, CI/CD pipelines, and daily workflows.Whether you want to refactor a legacy Express app to FastAPI, write end-to-end tests from user stories, or build a self-correcting research bot, this book provides the production-ready code and architectural patterns you need.The command line gave us power. Generative AI gave us intelligence. This book shows you how to combine them.Start building the future of automation today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. Stop building chatbots. Start engineering digital workforces.You have likely built a prototype. You've written a prompt, connected an API, and watched a Large Language Model (LLM) perform a task like magic. But when you try to deploy that script to production, the magic fades. The model halluc…inates, the logic breaks, and the system fails to handle the chaos of the real world.The era of the single-agent "God Model"-trying to force one prompt to do everything-is over. The future belongs to Multi-Agent Systems (MAS): networks of specialized, autonomous agents that collaborate, debate, and self-correct to solve problems complexity beyond the reach of any single model.The Multi-Agent Systems Blueprint is not a theoretical textbook. It is a field manual for software architects, senior developers, and CTOs who are ready to bridge the gap between experimental AI and enterprise-grade engineering.This book dismantles the hype and replaces it with rigorous architectural patterns. You will move beyond simple "prompt engineering" to master Agentic Orchestration-designing state machines, persistent memory fabrics, and fault-tolerant loops that turn unreliable models into reliable software.Inside, you will discover how to: Master the "Big Three" Frameworks: deep dives into LangGraph, CrewAI, and Microsoft AutoGen, helping you choose the right tool for the right topology.Architect for Reliability: Replace fragile linear scripts with self-correcting loops using Debate Patterns, Critique-Reflect cycles, and Hierarchical Supervision.Build "Day 2" Operations: Go beyond the code. Learn to implement Semantic Monitoring, structured logging, and Docker/Kubernetes deployment pipelines specifically tuned for agentic workloads.Implement Real-World Swarms: Detailed code walkthroughs for building Autonomous Research Teams, Self-Healing DevOps Bots, and Intelligent Finance Auditors.Secure Your Agents: Implement "Human-in-the-Loop" circuit breakers, Pydantic schema enforcement, and enterprise-grade guardrails to prevent hallucinations and prompt injection.Whether you are automating invoice processing in Finance, building a semantic resume screener for HR, or designing the next generation of SaaS products, this book provides the code, the concepts, and the confidence to build systems that think.Don't just write scripts. Architect intelligence. Build the future of autonomous software today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
