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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

Use case definition

Let’s consider a scenario where we’re working with an e-commerce company that wants to improve its customer service experience. The company receives a large volume of customer inquiries through various channels, such as email, chat, and social media. Currently, these inquiries are handled manually by a team of customer service representatives, which can be time-consuming and prone to inconsistencies.

By integrating intent classification into customer engagement flows, companies can optimize their customer service operations. This advanced natural language processing technique automatically categorizes incoming customer inquiries into predefined intents, such as “order status,” “product inquiry,” “return request,” or “general feedback.” The classification layer acts as an intelligent entry point for customer service interactions, enabling more efficient and accurate routing of inquiries.

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