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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

How to deploy LLM apps

Given the increasing use of LLMs in various sectors, it’s imperative to understand how to effectively deploy models and apps into production. Deployment services and frameworks can help to scale the technical hurdles. There are lots of different ways to productionize LLM apps or applications with generative AI.

Deployment for production requires research into, and knowledge of, the generative AI ecosystem, which encompasses different aspects including:

  • Models and LLM-as-a-Service: LLMs and other models either run on-premises or offered as an API on vendor-provided infrastructure.
  • Reasoning heuristics: Retrieval Augmented Generation (RAG), Tree-of-Thought, and others.
  • Vector databases: Aid in retrieving contextually relevant information for prompts.
  • Prompt engineering tools: These facilitate in-context learning without requiring expensive fine-tuning or sensitive data.
  • Pre-training and fine-tuning: For models specialized...
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