Résultats pour "Systema" dans Sciences informatiques

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations.

Die Arbeitswelt verändert sich schneller als je zuvor. Künstliche Intelligenz automatisiert Aufgaben, verändert Berufe und stellt alles infrage, was bisher als sicher galt. Viele Menschen spüren diese Veränderung bereits, wissen aber nicht, wie sie darauf reagieren sollen.

What if you could accomplish in 2 days what now takes you 5? The AI revolution isn't coming... it's here. And it's about to make the traditional workweek obsolete. Bill Gates predicts most people will work just two days per week within the decade. The question isn't whether this will happen; it's whether you'll be among the prepared few who thrive, or the many left behind. "2-Day WorkWeek" is your survival guide for the AI economy. This isn't another productivity hack book.

Most people are using ChatGPT the wrong way. They ask random questions, generate quick answers, and move on. But the real power of AI isn’t just getting answers—it’s building systems that work for you automatically. ChatGPT Automation for Beginners shows you how to turn ChatGPT into a practical automation engine that can help you build sales systems, marketing workflows, and business processes—even if you have no technical background.

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow The entirety of the human brain’s 4-billion-year story can be...

Artificial intelligence is moving fast—from experimental prototypes to real systems powering software, automation, and decision-making. Yet most AI projects never reach production. Fragile data pipelines, unstable models, and poorly designed architectures often prevent promising ideas from becoming real-world solutions. At the same time, a new generation of intelligent systems is emerging.

Want to Implement AI Agents in Your Organization? Heard of Agentic AI & Wonder What It Is About? Need a No-BS Guide to Implementing AI Agents Today? If you answered yes to any of these questions, then keep reading ... Amazon-bestselling author and AI consultant David M. Patel is going to show in this comprehensive hands-on executive guide to AI Agents everything you need to know to implement and harness the full potential of AI Agents & Agentic AI in your organization.

AI Digital Marketing & Social Media Marketing 2026 introduces The AI Marketing Stack — a four-layer system that connects the AI tools you already own into an integrated marketing operation: Intelligence feeding Creation, Creation feeding Distribution, Distribution feeding Monetization. One weekly workflow. One system that compounds.

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

This practical guide reveals how to create sophisticated multi-agent AI systems using Claude Code, giving you the competitive edge in the rapidly evolving world of AI development. Unlike generic AI tutorials, this book focuses specifically on Anthropic's Claude models and their unique advantages for building reliable, scalable agent systems. You'll discover why Claude's extended context window and superior reasoning capabilities make it the preferred choice for complex multi-agent workflows that other LLMs struggle to handle.

AI doesn't need to be overwhelming, technical, or full of hype. You don't need to learn coding. You don't need to chase every new tool. And you definitely don't need another book filled with buzzwords and theory.

What if you could accomplish more in 2 focused hours than most people do in an entire workday? "The 2 Hour Productivity Hacks with GPT-5.4 Agentic AI" reveals how to transform advanced artificial intelligence into your personal team of autonomous assistants. This practical guide shows you exactly how to build AI agents that research, write, plan, and execute tasks while you focus on high-level strategy and creative work. This is not another generic AI book filled with theory.

Vertrauen in Künstliche Intelligenz ist nicht nur eine regulatorische Anforderung, sondern auch eine Frage der Unternehmensethik, des kulturellen Bewusstseins und verantwortungsvollen Designs. Dieses Buch verfolgt einen integrierten Ansatz und zeigt, wie vertrauenswürdige KI-Systeme über Algorithmen, Server und Datenbanken hinausgehen und auch Aussehen, Natur und Menschen berücksichtigen.

Artificial intelligence is transforming how we learn—but using it effectively requires more than curiosity. The AI Learning System is a practical, no-hype guide that shows you how to turn AI into a powerful tool for structured, independent learning. Designed for students, professionals, and self-learners, this audiobook focuses on what truly matters: building better study systems, asking smarter questions, and using AI to deepen understanding—not replace it.

Most traders don't fail because they lack information — they fail because they lack a system. AI Trading Systems for Stocks teaches you how to use ChatGPT and modern AI tools to build clear, rules-based trading systems that remove emotion, improve consistency, and help you make better trading decisions — without coding, automation, or black-box algorithms. This book is not about trade alerts, predictions, or shortcuts. It's about building a repeatable decision-making process, with AI acting as your structured assistant — not your replacement.

The Complete Beginner's Guide to Building Autonomous Systems with LLMs and Agentic Agents is your step-by-step roadmap into the future of intelligent automation. Designed specifically for beginners, this guide breaks down complex AI concepts into clear, practical lessons—no advanced background required. Inside, you'll discover how Large Language Models (LLMs) work, how agentic systems make decisions, and how to connect tools, memory, and workflows into fully autonomous AI pipelines.

A forward-thinking manifesto from three Stanford professors, which reveals how big tech's obsession with optimisation and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy and save ourselves. As the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake and what we can do to control technology instead of letting it control us.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.