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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

Review Questions

  1. What are the key differences between traditional AI systems and generative AI?
  2. How do Large Language Models (LLMs) generate human-like text, and what are their main capabilities?
  3. What technological advancements have contributed to the rise of generative AI?
  4. Why is the open-source revolution significant in the development of AI models?
  5. What is agentic AI, and how does it differ from traditional LLM-based systems?
  6. What are some real-world applications of agentic AI in different industries?
  7. What are the challenges associated with agentic AI, and how can they be addressed?
  8. How does LangChain enhance the capabilities of LLMs, and why is it an essential tool for building AI applications?
You have been reading a chapter from
Generative AI with LangChain - Second Edition
Published in: May 2025
Publisher: Packt
ISBN-13: 9781837022014
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