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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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Toc

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

Summary

In this chapter, you’ve explored a comprehensive framework for operationalizing GenAI integration patterns. You’ve learned about a four-layer approach that addresses the complexities of deploying and maintaining production-grade GenAI applications, encompassing the Data, Training, Inference, and Operations layers.

We proposed a holistic strategy that emphasizes the importance of data quality, security, and governance in the Data layer, while also addressing regulatory compliance and ethical considerations. The Training layer introduced you to various model adaptation techniques, including few-shot learning, fine-tuning, and full training, along with crucial aspects of model governance, performance monitoring, and XAI.

You’ve learned that the Inference layer focuses on scalability, performance optimization, and secure deployment strategies, including edge and distributed inference capabilities. The section on the Operations layer highlighted the...

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