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Generative AI Application Integration Patterns

You're reading from   Generative AI Application Integration Patterns Integrate large language models into your applications

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835887608
Length 218 pages
Edition 1st Edition
Languages
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Authors (2):
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Luis Lopez Soria Luis Lopez Soria
Author Profile Icon Luis Lopez Soria
Luis Lopez Soria
Juan Pablo Bustos Juan Pablo Bustos
Author Profile Icon Juan Pablo Bustos
Juan Pablo Bustos
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Generative AI Patterns 2. Identifying Generative AI Use Cases FREE CHAPTER 3. Designing Patterns for Interacting with Generative AI 4. Generative AI Batch and Real-Time Integration Patterns 5. Integration Pattern: Batch Metadata Extraction 6. Integration Pattern: Batch Summarization 7. Integration Pattern: Real-Time Intent Classification 8. Integration Pattern: Real-Time Retrieval Augmented Generation 9. Operationalizing Generative AI Integration Patterns 10. Embedding Responsible AI into Your GenAI Applications 11. Other Books You May Enjoy
12. Index

Application integration patterns in the integration framework

Previously, we dove into the high-level architectural trade-offs between real-time and batch-oriented integration approaches for GenAI models. But how do the nuances of these patterns map to the different components within our integration framework’s stages? The following diagram depicts these steps:

Figure 4.1: The GenAI application integration framework

Let’s walk through each step in the next sections.

Entry point

When it comes to the Entry Point stage, the priorities for real-time versus batch systems differ significantly based on the end user experience. For real-time interactive applications, the entry points where prompts originate need to be highly streamlined with simplicity and ease of use in mind. After all, these inputs will be directly exposed to human users and drive the instantaneous AI responses they receive.

As such, real-time prompting surfaces should be optimized...

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