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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

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Table of Contents (16) Chapters

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

Companies embracing generative AI

Since the launch of ChatGPT in November 2022, up to the newest large foundation models on the market (both proprietary and open-source), many companies in different industries started embracing generative AI within their processes and products. Let’s discuss some of the most popular ones.

Coca-Cola

Coca-Cola partnered with Bain & Company and OpenAI to leverage DALL-E, a generative AI model. This partnership was announced on February 21, 2023.

OpenAI’s ChatGPT and DALL-E platforms will help Coca-Cola create customized ad content, pictures, and messages. Coca-Cola’s “Create Real Magic” initiative is the result of the collaboration between OpenAI and Bain & Company (https://www.coca-colacompany.com/media-center/coca-cola-invites-digital-artists-to-create-real-magic-using-new-ai-platform). The platform is a unique innovation that merges the abilities of GPT-4, which generates text that sounds like...

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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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