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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 FREE CHAPTER 2. Identifying Generative AI Use Cases 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

Entry point

The entry point is where an application accepts a user’s input that will be processed by GenAI models. This might be:

  • A text box where a user enters a prompt: Interactive
  • An uploaded image that will be processed: Interactive or batch
  • A voice recording that will be transcribed and analyzed: Batch

The entry point acts as the front door for users to access the power of GenAI within an application. As such, the entry point modality should align closely with the input types supported by the models being leveraged. If the models only process text prompts, then a text-based entry field is appropriate. For image generation models, the entry could be an interface supporting image uploads. Multi-modal models may warrant options for both text and images.

Beyond matching supported input types, the entry point UX should aim to make providing prompts fast, intuitive, and even delightful for users. Well-designed interfaces guide users naturally...

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