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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

Operations layer

The Operations layer forms the backbone of a robust and efficient GenAI system, ensuring smooth functioning, reliability, and cost-effectiveness. This layer encompasses the critical processes and tools that enable continuous improvement, monitoring, and optimization of your AI models in production environments.

By focusing on CI/CD and MLOps, monitoring and observability, and cost optimization, the Operations layer bridges the gap between development and production, allowing organizations to maintain high-performance AI systems while adapting to changing requirements and managing resources effectively. A well-designed Operations layer is essential for scaling AI solutions, ensuring their reliability, and maximizing the return on investment in GenAI technologies. At the heart of this layer lies the CI/CD pipeline, which streamlines the process of integrating new code and deploying updated models seamlessly. Let’s look at this in a little more detail.

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