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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

Generative AI in Production

As we’ve discussed in this book, LLMs have gained significant attention in recent years due to their ability to generate human-like text. From creative writing to conversational chatbots, these generative AI models have diverse applications across industries. However, taking these complex neural network systems from research to real-world deployment comes with significant challenges.

So far, we’ve talked about models, agents, and LLM apps as well as different use cases, but there are many issues that become important when deploying these apps into production to engage with customers and to make decisions that can have a significant financial impact. This chapter explores the practical considerations and best practices for productionizing generative AI, specifically LLM apps. Before we deploy an application, performance and regulatory requirements need to be ensured, it needs to be robust at scale, and finally monitoring has to be in place...

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