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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

The Future of Generative Models

In this book, so far, we have discussed generative models for building applications, and we have implemented a few simple ones – for example, for semantic search, for content creation, customer service agents, and assistants for developers and data scientists. We have explored techniques such as tool use, agent strategies, semantic search with retrieval augmented generation, and the conditioning of models with prompts and fine-tuning. In this chapter, we’ll deliberate on where this leaves us and where the future leads us. We’ll consider the weaknesses and socio-technical challenges of generative models, and strategies for mitigation and improvement. We’ll discuss value creation opportunities, where unique customization of foundation models for specific use cases stands out. It remains uncertain which entities – big tech firms, start-ups, or foundation model developers – will capture the most upsides. We’...

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