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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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781835462317

Length 342 pages

Edition 1st Edition

Languages

Python

Tools

Falcon

Concepts

Artificial Intelligence

Author (1):

Valentina Alto

View More author details

Table of Contents (16) Chapters

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

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Qr code Description automatically generated

In this chapter, we are going to cover yet another great capabilities of Large Language Models: the ability to handle structured, tabular data. We will see how, thanks to plug-ins and an agentic approach, we can use LLMs as a natural language interface between us and our structured data, reducing the gap between the business user and the structured information.During this chapter, we will cover the following topics:

Introduction to the main structured data systems
Using tools and plug-ins to connect LLMs to tabular data
Building a Database copilot with LangChain

By the end of this chapter, you will be able to build your own natural language interface towards your data estate, also combining unstructured with structured sources.

The rest of the chapter is locked

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Authors (1)

Valentina Alto

Valentina Alto

Valentina Alto is a Data Science Graduate who joined Microsoft Italy in 2020 as an Azure solution specialist. Since 2022, she has been focusing on data and AI workloads within the manufacturing and pharmaceutical industries. She has been working closely with system integrators on customer projects to deploy cloud architecture with a focus on Modern Data Platforms and AI-powered applications. In June 2024, she moved to Microsoft Dubai as an AI App Tech Architect to focus more on AI-driven projects in the Middle East. Since commencing her academic journey, she has been writing tech articles on statistics, machine learning, deep learning, and AI in various publications. She has authored several books on machine learning and large language models.

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