Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Building LLM Powered  Applications

You're reading from  Building LLM Powered Applications

Product type Book
Published in May 2024
Publisher Packt
ISBN-13 9781835462317
Pages 342 pages
Edition 1st Edition
Languages
Author (1):
Valentina Alto Valentina Alto
Profile icon Valentina Alto
Toc

Table of Contents (16) Chapters close

Preface 1. Introduction to Large Language Models 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

Getting started with conversational applications

A conversational application is a type of software that can interact with users using natural language. It can be used for various purposes, such as providing information, assistance, entertainment, or transactions. Generally speaking, a conversational application can use different modes of communication, such as text, voice, graphics, or even touch. A conversational application can also use different platforms, such as messaging apps, websites, mobile devices, or smart speakers.Today, conversational applications are getting to the next level thanks to Large Language Models. In fact, not only LLMs provides a new level of natural language interactions, but also they can power an applications in making reasonings on the best responses given user’s preferences. As we saw in previous chapters, LLMs can leverage their parametric knowledge, but also enriched with non-parametric knowledge, thanks to embeddings and plug-ins. Finally...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime}