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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 2. LLMs for AI-Powered Applications FREE CHAPTER 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

Emerging Trends and Innovations

Dear reader, if you have made it up to this point – congratulations! You managed to complete this journey into LLMs and how to implement modern applications with them. Starting from the fundamentals of what’s under the hood of an LLM, we covered many scenarios of LLM-powered applications, from conversational chatbots, to database copilots, to multimodal agents. We experimented with different models, both proprietary and open-source, and we also managed to fine-tune our own LLM. Last but not least, we covered the key topic of Responsible AI and how to embed ethical considerations within our LLM-powered applications.

In this final chapter, we are going to explore the latest advancements and future trends in the field of generative AI. Note that, as a rapidly evolving field, it is nearly impossible to keep up with up-to-date releases. Nevertheless, the advancements covered in this chapter will give you an idea of what to expect in the...

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