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Building LLM Powered  Applications

You're reading from   Building LLM Powered Applications Create intelligent apps and agents with large language models

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835462317
Length 342 pages
Edition 1st Edition
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Author (1):
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Valentina Alto Valentina Alto
Author Profile Icon Valentina Alto
Valentina Alto
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Table of Contents (16) Chapters Close

Preface 1. Introduction to Large Language Models FREE CHAPTER 2. LLMs for AI-Powered Applications 3. Choosing an LLM for Your Application 4. Prompt Engineering 5. Embedding LLMs within Your Applications 6. Building Conversational Applications 7. Search and Recommendation Engines with LLMs 8. Using LLMs with Structured Data 9. Working with Code 10. Building Multimodal Applications with LLMs 11. Fine-Tuning Large Language Models 12. Responsible AI 13. Emerging Trends and Innovations 14. Other Books You May Enjoy
15. Index

Building Multimodal Applications with LLMs

In this chapter, we are going beyond LLMs, to introduce the concept of multimodality while building agents. We will see the logic behind the combination of foundation models in different AI domains – language, images, and audio – into one single agent that can adapt to a variety of tasks. By the end of this chapter, you will be able to build your own multimodal agent, providing it with the tools and LLMs needed to perform various AI tasks.

Throughout this chapter, we will cover the following topics:

  • Introduction to multimodality and large multimodal models (LMMs)
  • Examples of emerging LMMs
  • How to build a multimodal agent with single-modal LLMs using LangChain
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