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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

How LLMs are changing software development

Large Language Models have proven to have extraordinary capabilities: from natural language tasks (summarization, named entity recognition, classification) to text generation, from common-sense reasoning to brainstorming skills.However, LLMs are not just incredible by themselves. Large Language Models and, generally speaking, Large Foundation Models (LFMs) are revolutionizing software development by serving as platforms for building powerful applications. In fact, as we saw in chapter 1, the paradigm shift Now the story is different. Instead of starting from scratch, developers can make API calls to a hosted version of an LLM, with the option of customizing it for their specific needs as we saw in the previous chapter. This shift allows teams to incorporate the power of AI more easily and efficiently into their applications, similar to the transition from single-purpose computing to time-sharing in the past. But how does it mean, in concrete...

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