AI Agents and the Decentralized Web3
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Narrado por:
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Virtual Voice
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De:
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Ajit Singh
Este título utiliza narración de voz virtual
Voz Virtual es una narración generada por computadora para audiolibros..
Philosophy:
The core philosophy of this book is that the next evolution of the internet will be defined by autonomous agency. I believe that by combining the cognitive power of AI with the trustless, transparent, and sovereign foundation of Web3, we can create a new class of applications and services that are more resilient, equitable, and intelligent. My approach is to treat an AI agent not as a tool, but as a first-class citizen of the decentralized web, with its own identity, resources, and decision-making capabilities. We move beyond the "what if" to focus on the "how-to."
Key Features:
1. Beginner to Advanced Path: No prior Web3 experience is required. The book starts with the basics and builds up to advanced topics like AI-governed DAOs and agent-based tokenomics.
2. Practical Code & Examples: Rich with working code snippets in popular languages like Python (with Web3.py) and JavaScript (with Ethers.js), and smart contracts in Solidity.
3. Real-World Case Studies: Analysis of existing projects and hypothetical scenarios to illustrate the power and challenges of decentralized AI agents.
4. Ethical Framework: A dedicated chapter on the ethical challenges, alignment problem, and societal impact of sovereign agents, encouraging responsible innovation.
5. Modular Design: Each chapter focuses on a core component of a sovereign agent (e.g., memory, logic, economy), making it easy to use as both a sequential textbook and a reference guide.
To Whom This Book is Addressed;
1. B.Tech and M.Tech Computer Science/IT Students: It is designed to serve as a core or elective textbook for courses on AI, Blockchain, Decentralized Applications, or advanced web technologies.
2. Web3 and Blockchain Developers: Professionals looking to integrate advanced AI and machine learning capabilities into their decentralized applications (dApps).
3. AI and Machine Learning Engineers: Practitioners who are curious about leveraging decentralized technologies to build more robust, autonomous, and transparent AI systems.
4. Researchers and Academics: Individuals exploring the frontiers of distributed systems, artificial intelligence, and digital economics.
5. Entrepreneurs and Innovators: Visionaries who want to understand and build the next generation of internet services and autonomous organizations.
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