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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781837022014
Length 476 pages
Edition 2nd Edition
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Table of Contents (14) Chapters Close

Preface 1. The Rise of Generative AI: From Language Models to Agents 2. First Steps with LangChain FREE CHAPTER 3. Building Workflows with LangGraph 4. Building Intelligent RAG Systems 5. Building Intelligent Agents 6. Advanced Applications and Multi-Agent Systems 7. Software Development and Data Analysis Agents 8. Evaluation and Testing 9. Production-Ready LLM Deployment and Observability 10. The Future of Generative Models: Beyond Scaling 11. Other Books You May Enjoy 12. Index Appendix

Societal implications

As developers and stakeholders in the AI ecosystem, understanding the broader societal implications of these technologies is not just a theoretical exercise but a practical necessity. The technical decisions we make today will shape the impacts of AI on information environments, intellectual property systems, employment patterns, and regulatory landscapes tomorrow. By examining these societal dimensions, readers can better anticipate challenges, design more responsible systems, and contribute to shaping a future where generative AI creates broad benefits while minimizing potential harms. Additionally, being aware of these implications helps navigate the complex ethical and regulatory considerations that increasingly affect AI development and deployment.

Misinformation and cybersecurity

AI presents a dual-edged sword for information integrity and security. While it enables better detection of false information, it simultaneously facilitates the creation...

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