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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835083468
Length 368 pages
Edition 1st Edition
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Author (1):
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Ben Auffarth Ben Auffarth
Author Profile Icon Ben Auffarth
Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. What Is Generative AI? 2. LangChain for LLM Apps FREE CHAPTER 3. Getting Started with LangChain 4. Building Capable Assistants 5. Building a Chatbot Like ChatGPT 6. Developing Software with Generative AI 7. LLMs for Data Science 8. Customizing LLMs and Their Output 9. Generative AI in Production 10. The Future of Generative Models 11. Other Books You May Enjoy
12. Index

Societal implications

The rise of generative AI represents a significant milestone within a broader societal trend of how creative content is being generated and consumed. The internet has already nurtured a culture of remixing, where derivative works and co-creation are the norms. Generative AI fits naturally within this paradigm by creating new content through the recombination of existing digital materials, promoting the ethos of shared, iterative creation.

However, the capacity of generative AI to synthesize and remix copyrighted materials at scale presents intricate legal and ethical challenges. The training of these models on extensive corpora that encompass literature, articles, images, and other copyrighted works creates a tangled web for attribution and compensation. Existing tools struggle to identify content generated by AI, which complicates efforts to apply traditional copyright and authorship principles. This dilemma underscores the urgent need for legal frameworks...

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